Zero Correlation Zone Based Preamble for Oversampled OFDM Networks in URWIN

Abstract
In an oversampled orthogonal frequency-division multiplexing (OFDM) orthogonal network, the preamble used for time synchronization does not have an ideal autocorrelation function due to guard bands, which degrade the accuracy of symbol timing. Therefore, a zero-correlation-zone (ZCZ) based preamble is used for time synchronization. Across correlation function (CCF) used for time synchronization is forced to 0 within a certain region around a main lobe. The length of the ZCZ is guaranteed to be larger than a cyclic prefix length of OFDM data symbols synchronization accuracy.
Description
FIELD OF THE INVENTION

The present invention relates generally to multiple access control (MAC) of communications networks, and more particularly to carrier allocation and transmission time sharing among multiple users in a wireless communications network that applies a MAC combing orthogonal frequency-division multiple-access (OFDMA) and time-division multiple-access (TDMA).


BACKGROUND OF THE INVENTION

In orthogonal frequency-division multiplexing (OFDM) networks, a preamble is used for synchronization and channel estimation. In oversampled OFDM networks, the preamble used for time synchronization does not have an ideal autocorrelation function. The ideal function is the Dirac delta function, which represents an infinitely sharp peak bounding unit area. This is due to a guard band, which degrades the accuracy of symbol timing.


Oversampled OFDM is typical of most wireless standards that employ OFDM, such as IEEE 802.11, IEEE 802.16 and 3GPP-LTE. Because it is not possible to obtain and ideal preamble sequence in such cases, it is desired to provide an optimal preamble.


SUMMARY OF INVENTION

In an oversampled orthogonal frequency-division multiplexing (OFDM) orthogonal network, the preamble used for time synchronization does not have an ideal autocorrelation function due to guard bands, which degrade the accuracy of symbol timing. Therefore, a zero-correlation-zone (ZCZ) based preamble is used for time synchronization. A cross correlation function (CCF) used for time synchronization is forced to 0 within a certain region around a main lobe. The length of the ZCZ is guaranteed to be larger than a cyclic prefix length of OFDM data symbols to increase synchronization accuracy.





DESCRIPTION OF THE DRAWINGS


FIG. 1 is an illustration of an OFDM preamble with three symbols, and for what each symbol is used for according to the invention.



FIG. 2 is an illustration of the allocation of sub-carriers within the system band into guard-band sub-carriers, pilot sub-carriers and data sub-carriers according to the invention.



FIG. 3 shows the Zero Correlation Zone (ZCZ) of the autocorrelation of a ZCZ sequence according to an embodiment of the invention.



FIG. 4 illustrates the algorithm for designing the OFDM symbols according to the invention





DESCRIPTION OF THE PREFERRED EMBODIMENT

The embodiments of the invention provide a zero-correlation-zone (ZCZ) based preamble for time synchronization in oversampled orthogonal frequency-division multiplexing (OFDM) OFDM networks in URWIN. In particular, our preamble can force a cross correlation function (CCF) used for time synchronization to be 0 within a certain region around a main lobe. The length of the ZCZ is guaranteed to be larger than the cyclic prefix (CP) length of OFDM symbols. This increases the accuracy of synchronization. As used herein, the length (L) means a time duration. Throughout the disclosure we make reference to a specific design in which various parameters of the preamble are explicitly defined. We call this design URWIN (Ultra-Reliable Wireless Industrial Network) and provide the numerical quantities for the preamble design for exemplary purposes. The specific parameters for the URWIN along with specific preamble sequences are shown in Tables IV-VII in the Appendix.


Notations and Definitions


Convolution: The operator “*” denotes convolution of two sequences:











z
l

=



x
l

*
y

=




m
=

max


(


n
-

L
y

+
1

,
0

)




min


(

n
,


L
x

-
1


)






x
m




y

l
-
m


l












l
=
0

,
1
,





,

L
+

L
y


,





(
1
)







where zl is the convolution output of sequences x, l=0, 1, . . . , Lx−1, and yn, n=0, 1, . . . , Ly−1, min and max represent functions that return minimum and maximum values, respectively, and m is a summation variable whose limits are given in Equation (1).


Circular Convolution:


For the sequences x1 and yl with the same length L, the circular convolution output sequence Zl, l=0, 1, . . . , L−1, between these two sequences is well-known as















z
l

=




x
l



y
l








=






m
=
0


L
-
1





x
m



y


(

l
-
m

)

L











=







m
=
0

l




x
m



y

l
-
m




+




m
=

l
+
1



L
-
1





x
m



y

L
+
l
-
m






,







(
2
)








where ( )L denotes the modulus operation after division by L, and is the circular convolution operator.


Circular Cross Correlation Function (Circular CCF)


For the two sequences xl and yl with the same length L, the circular CCF between the two sequences is, denoted by ψxy(τ), is defined as












ψ
xy



(
τ
)


=



x
τ



y

-
τ

*


=




m
=
0


L
-
1





x
m



y


(

m
-
τ

)

L

*





,




(
3
)







where ( )L denotes the modulus after division by L.


Vector Representation


Any sequence wl=0, 1, . . . Lw−1 can be written in a column vector form as w, (w0,w1, . . . ,wLw−1)T, where T denotes the transpose operator.


Eqs. (1) and (2) can be respectively rewritten as






z=x*y and z=xy.


Preamble Structure and Transmission Model


Table I lists parameters for the OFDM/OFDMA network. The URWIN network has specific parameters. Our preamble is derived as a general approach for various OFDM parameters. Moreover, the parameters defined in Table I are for OFDM data symbols.


The OFDM symbols in the preamble can differ from the OFDM data symbols, e.g., the CP length for some symbols differ when the OFDM symbols in the preamble have a different structure. This is explicitly noted.









TABLE I







FDMA parameter Description and URWIN values










Variable
Name
Properties
URWIN values













N
FFT size
N = 2k, k = 2, 3, . . .
256


U
The number of useful
U <= N
204



subcarriers indexed by −U/2, −U/



2 + 1, . . . , −1, 1, 2, . . . , U/2. Other



subcarriers are direct



current(DC) subcarrier, or



belong to the guard band, as



shown in FIG. 2











Tg
The length of the CP for data

0.7
μs



bearing OFDM symbols


Tb
Useful time length of an

11.2
μs



OFDM symbol


Ts
Length of total OFDM
Ts= Tb+ Tg
11.9
μs



symbol


fs
Sampling rate
fs = N/Tb
22.857142
MHz










Ng
Number of samples within a
Ng = Tgfs
16



CP length


Ns
Number of samples within an
Ns = Tsfs
272



entire OFDM symbol









As shown in FIG. 1A, the preamble for URWIN is constructed by concatenating three OFDM symbols 101-103, separated by CPs 110. The length of the payload part of each of the three symbols is the same as that in OFDM data symbols.


The first symbol of the preamble is used for signal detection (SD), automatic gain control (AGC), and frequency offset estimation (FOE). Because the CP is not an essential component for signal detection, AGC, and frequency offset estimation, we do not use the CP for the first symbol. The 11.2 μs length of the first symbol is longer than the length specified in the 802.11 standard for signal detection and AGC.


The second preamble symbol 102 is used for symbol synchronization, which has a CP with 1a length of 2Tg. We use a longer length for the CP of the second symbol because the ZCZ length is longer than the CP length of the data symbols.


The third symbol 103 is used for channel estimation, and has a CP with the same length as data symbols. The functions and parameters for the three symbols of preamble are summarized in Table II.









TABLE I







Length of Preamble symbols











Symbol
CP
Payload
Total



Index
Length
Length
Length
Functions





1-First
0
Tb
Tb
SD, AGC, FOE


2-Second
2Tg
Tb
2Tg + Tb
Synchronization


3-Third
 Tg
Tb
2Tg + Tb
Channel Estimation









Transmitted and Received Signal Model


With the above structure, the transmitted preamble signal in discrete time, can be denoted by Φn, which is a piecewise function expressed as










φ
n

=

{




f


n
+
N
+

2






N
g



,




if







n
=

-

(


2






N
g


+
N

)



,
-







(


2






N
g


+
N
-
1

)

,





,

-

(


2






N
g


+
1

)











s
n



if




n
=


-
2







N
g



,

-

(


2






N
g


-
1

)


,





,


N
g

+
1







c

n
-
N
-

N
g





if




n
=
N

,

N
+
1

,





,


2





N

+

N
g

-
1

,









(
4
)







where fn, sn and cn denote the first, second, and third OFDM symbols in the preamble, respectively. The variables Ng, Ns, and N are defined in Table I, and n=0 corresponds to the beginning of the useful part of the second symbol, as shown in FIG. 1.


More specifically, we can express the time domain sequences, fn, sn and cn through the Fourier relationship to the frequency domain symbols Fk, Sk, and Ck. Doing so we obtain the explicit expression for each preamble component as follows.











f
n

=


1

U







k
=


-
N

/
2




N
/
2

-
1





F
k





j



2





π





nk

N







,


n

,




(
5
)








s
n

=


1

U







k
=


-
N

/
2




N
/
2

-
1





S
k





j



2





π





nk

N







,


n

,




(
6
)








c
n

=


1

U







k
=


-
N

/
2




N
/
2

-
1





C
k





j



2





π





nk

N







,


n

,




(
7
)







where j is the imaginary number √{square root over (−1)}, k, indexes the subcarriers of the OFDM symbol, n indexes the time/sample of the corresponding time domain representation of the preamble symbols, Fk, Sk, and Ck, are the frequency-domain values (complex-valued) on the kth subcarrier for the first, second, and the third symbol, respectively, in the preamble. Since we only focus on the useful subcarriers, Eqs. (6)-(8) can be rewritten as











f
n

=


1

U







u
=
0


U
-
1





F

k


(
u
)







j



2





π






nk


(
u
)



N










n





,




(
8
)








s
n

=


1

U







u
=
0


U
-
1





S

k


(
u
)







j



2





π






nk


(
u
)



N










n





,




(
9
)







c
n

=


1

U







u
=
0


U
-
1





C

k


(
u
)







j



2





π






nk


(
u
)



N










n








(
10
)







where k(u) maps 0, . . . , U−1 to the real subcarrier indices k as










k


(
u
)


=

{





u
+
1





u
=
0

,
1
,





,


U
/
2

-
1







u
-
U





u
=

U
/
2


,


U
/
2

+
1

,





,

U
-
1





.






(
11
)







The received preamble is






r
n

n
*h
nn,   (12)


where hn, n=0, 1, . . . , Dmax−1, is the channel impulse response, and σn is the additive white Gaussian noise (AWGN) with power spectrum density (PSD) N0. We assume that the CP length of normal data OFDM symbols is larger than the maximum delay caused by the channel. Thus, we have L≦Ng.


Designs of the First and Third OFDM Preamble Symbols



FIG. 4 illustrates the algorithm according to the invention for assigning the third symbol Ck(u) 430 and the first symbol Fk(u) 440 based on part of third symbols Ck(u).


Third Preamble Symbol


The third symbol 430 is to be used for channel estimation. An essential requirement for a high quality channel estimation sequence is a uniform-power across the frequency domain so that all subcarriers are sounded with equal power. Another general requirement is to minimize the peak-to-average-ratio (PAPR). To fulfill the uniform power constraint, we set the normalized magnitude of the power for Ck(u) to 1 for all subcarriers u. The third symbol Ck(u) uses quadrature phase-shift keying (QPSK) to simplify the implementation. Then, we have






C
k(u)
=e
jφ′

k(u)
,   (13)


where the phase φk(u)ε{π/4; 3π/4; 5π/4; 7π/4} is selected as follows.


We randomly generate many {φ′k(u)}u=0U by using a random-number-generator 410, such that we can get many realizations of {Ck(u)}u−0U. Among these realizations, we select the one with the minimum PAPR 420. The selected sequence Ck(u) 430 is shown in Table IV, under which the obtained PAPR is 5 dB (as listed in Table III).


First Preamble Symbol


The OFDM symbol used for signal detection and AGC needs to be periodic with a relatively short period. To satisfy this constraint, we set the first symbol Fk(u) 440










F

k


(
u
)



=

{






U

U


(
θ
)





C

k


(
u
)










if






(


k


(
u
)



mod





θ

)


=
0

,
and





0



otherwise
,









(
14
)







where θ is a positive integer, and U(θ) is the number of subcarriers satisfying (k(u) mod (θ)=0. Using equation (9), we see that the time domain representation of the first symbol, fn, has a period equal to Tb=0. In the URWIN network, we set θ=16 based on the following reasons. Using θ=16, for the first OFDM symbol, we obtain 16 periods, each with 16 samples, comparable to 802.11 OFDM networks. This duration is long enough for fast frequency offset estimation. Moreover, the power is uniformly distributed to 24 subcarriers. The spacing between two adjacent subcarriers is to 16=Tb=1.43 MHz.


Because the coherence bandwidth is a few megahertz, the above setting can achieve full frequency diversity in signal detection. Note that the θ can be adjusted meet other requirements.


CCF Analyses of the Second Preamble Symbol


The time-domain signal sn usually needs to be a pseudo-random waveform, such that its autocorrelation function (ACF) is close to a single pulse with a single peak, which can be used to indicate the accurate timing. To achieve the single-peak waveform, the receiver can pass the signal through an matched filter with a response of s*n.


The ACF of an ideal synchronization signal should be a delta function. With this property, the output of the matched filter is exactly the same as the channel impulse response. Other preferable properties include constant amplitude in the time domain, and uniform power in the frequency domain.


A constant amplitude in the time-domain yields the lowest PAPR, while a uniform power in the frequency domain is fair for all subcarriers to combat frequency-selective fading. For the ACF to be a delta function, the power must be uniform power for all subcarriers.


However, in practice, OFDM designs allocate a portion of the total bandwidth 210 as a guard band 220-222 one at each end of the frequency spectrum such that the sampling rate of an OFDM signal is always higher than the useful bandwidth. We call such a network an oversampled OFDM network. Each guard band 220-222 contains a number of sub-carriers 231. The number of sub-carriers in one guard band can be different from the other. The carriers in the usable band 221 are further divided into groups 240. One sub-carrier is dedicated as a pilot sub-carrier 230 in each group 240. In the oversampled OFDM network, uniform power across the frequency domain is impossible, and thus the perfect autocorrelation property is not achievable, which motivates us to design new synchronization signal for oversampled OFDM system and the URWIN network specifically.


Usually, the signal for synchronization is periodic. Therefore, we assume that the second OFDM preamble symbol is periodic with a period equal to





N/α, where α2ε{1, 2, 4, . . . , (log2 N)−1,


which forces






S
k(u)=0 for α≠1 and (k(u) mod α)≠0; ∀n.   (16)


At the receiver, we pass the signal through a local correlator denoted by {tilde over (s)}n, n=0,1, . . . ,N/α−1. Then, the output of the correlator is the convolution between {tilde over (s)}n and sn, which is






r
n
*{tilde over (s)}
−n*=(φn*hnn)*{tilde over (s)}−n*.   (17)


If we set {tilde over (s)}n=sn, then the correlator is a matched filter. The matched filter maximizes the received SNR. However, the output is not necessarily a sharp and accurate timing metric. We provide an alternative {tilde over (s)}n for accurate timing.


By, applying the periodic property of sn, we obtain






r
n
*{tilde over (s)}

*=s
n
*{tilde over (s)}
−n
**h
nσn*{tilde over (s)}−n*=ψs{tilde over (s)}((n)N/α)*hnn*{tilde over (s)}−n*,


if nε[−2Ng,−2Ng+1, . . . ,(α−1)N/α].


Using Eqn. (3), we further derive





ψs{tilde over (s)}(τ)=Σsm{tilde over (s)}(m−τ)N*,


which can be simplified to











ψ

s


s
~





(
τ
)


=


N

α





U







u
=
0


U
-
1





S

k


(
u
)






S
~


k


(
u
)


*






j



2





π






k


(
u
)



N


τ


.








(
19
)







Equation (19) can be rewritten in vector form as





ψs{tilde over (s)}=Ω(α)μ(α),   (20)


where ψs{tilde over (s)} is an N/α-dimensional column vector











ψ

s


s
~





=
^




(



ψ

s


s
~





(
0
)


,


ψ

s


s
~





(
1
)


,


ψ

s


s
~





(
2
)


,





,


ψ

s


s
~





(


N

α






-
1

)


,

)

T


,




(
21
)







where μ(α) is a U(α)-dimensional column vector, and Ω(α) is a (N(α) by U(α)) matrix. U(α) denotes the number of subcarriers with k(u) mod α=0. More specifically, Ω(α) and μ(α) are constructed from an N by U matrix Ω, and a U by 1 vector μ, respectively, which are










Ω
=

[



1


1





1







j



2





π






k


(
0
)



N








j



2





π






k


(
1
)



N











j



2





π






k


(

U
-
1

)



N

























j


(

N
-
1

)





2





π






k


(
0
)



N









j


(

N
-
1

)





2





π






k


(
1
)



N












j


(

N
-
1

)





2





π






k


(

U
-
1

)



N






]


,





μ
=


(





S

k


(
0
)






S
~


k


(
0
)


*








S

k


(
1
)






S
~


k


(
1
)


*








S

k


(
2
)






S
~


k


(
2
)


*













S

k


(

U
-
1

)






S
~


k


(

U
-
1

)


*





)

.






(
22
)







Then, we construct the new matrix Ω(α) and vector μ(α) by the following steps

    • 1) remove the uth column from Ω for all u satisfying (k(u) mod α)≠0;
    • 2) removing the ith row from Ω for all iε{N/α, N/α+1, . . . ,N−1}; and
    • 3) The new vector μ(α) is obtained by removing the uth element from μ for all u satisfying (k(u) mod α)≠0.


As shown in the above equations, the correlator output can be written in the form of the circular CCF between sn and {tilde over (s)}n. To obtain a sharp metric to indicate the time synchronization, we determine μ(α) such that ψs{tilde over (s)}=(1, 0, . . . ,0)T. However, note that the equation





ψs{tilde over (s)}=Ω(α)μ(α)=(1,0, . . . ,0)T   (23)


is inconsistent, implying that we cannot find such a vector μ. Therefore, we provide a zero-correlation-zone (ZCZ) based preamble.


ZCZ Based Preamble


Because the perfect correlation property can not be achieved because a solution to Equation (23) is not possible), we design the preamble such that the circular CCF ψs{tilde over (s)} has a zero correlation zone. The ZCZ has been used in CDMA networks.


However, how to apply ZCZ sequences in an oversampled OFDM network has neither been well understood, nor thoroughly studied. We apply the ZCZ sequences into the preamble design to enable more efficient and reliable time synchronization.



FIG. 3 shows the ZCZ according to an embodiment of the invention. The circular CCF ψs{tilde over (s)}(τ) is partitioned into a main lobe 310, a zero correlation zones (ZCZ) 302, and side lobes 303.


Main Lobe


The peak amplitude of ψs{tilde over (s)}(τ) is at τ=0. The main lobe covers a small region around τ=0. The main lobe width, denoted by WM (number of samples), is as small as possible to obtain good time resolution for synchronization. We set WM=2M+1 for M≧0.


Zero Correlation Zone


On the left-hand side of the main lobe, we ψs{tilde over (s)}(τ)=0 if τε[−WL−M, −M−1]. Note that ψs{tilde over (s)}(τ) can be treated as a periodic signal with period equal to N/α). The interval [−WL−M, −M−1] is the left ZCZ 302. A similar interval [M+1, WR+M] of length WR, within which ψs{tilde over (s)}(τ)=0 holds, is on the right-hand side of the main lobe and is the right ZCZ 302. The left and right ZCZs form the ZCZ.


In order to better acquire the delay feature of the channel impulse response (CIR) for accurate time synchronization, given CIR h(τ), we expect the convolution between the main lobe of ψs{tilde over (s)}(τ) and h(τ) to be in the ZCZ. Following this principle, WL and WR are larger than the maximum delay spread. Because the CP length of the data symbol is longer than the maximum delay spread, WL and WR are larger than Ng, i.e., WL, WR≧Ng. We set WL=WR.


Side Lobe


All other regions of ψs{tilde over (s)}(τ) belong to the side lobe. We suppress the peak to side-lobe ratio (PSR) between the peak of |ψs{tilde over (s)}(τ)| and the maximum amplitude of the side lobe. However, there is a tradeoff among the PSR, main lobe width, and ZCZ length. Generally, a smaller main lobe width and/or longer ZCZ degrade the PSR in an oversampled OFDM network.


Determining μ


The CCF ψs{tilde over (s)}(τ) is










ψ

s


s
~



=


(







ψ

s


s
~





(
0
)




peak


,




ψ

s


s
~





(
1
)


,





,


ψ

s


s
~





(
M
)






part





of





main





lobe



,



0
,





,
0






right





ZCZ








W
R






zeros







,





,




side





lobe






0
,





,
0





right





ZCZ



W
R






zeros





,









ψ

s


s
~





(


N





α





-
M

)


,





,


ψ

s


s
~





(

N

α




-
1


)






part





of





main





lobe






)

T





(
24
)







To obtain above vector, we guarantee that μ is orthogonal to the vector space spanned by





Θ={ΩM+1T(α), . . . ,ΩM+WRT(α),ΩN/α−M−WLT(α), . . . ,ΩN/α−M−1T(α)},   (25)


where ΩiT(α) is the 1th row vector of matrix Ω(α). Such a μ(α) can be determined using the procedure below.

  • 1) Initialize a U(α)×1 column vector, denoted by S, based on Eq, (31);
  • 2) Find a set of orthogonal basis {ωi}i=0WR+WL−1 spanning Θ;
  • 3)








S


S
-




i
=
0



W
R

+

W
L

-
1





ω
i
H


S






ω
i


S




:=
S

,




  • 4)








S
=


U



S


1



S


,




and

  • 5) μ(α):=S.


    The above procedure guarantees that the μ(α) is orthogonal to every vector spanned by Θ.


The second step can be performed by Gram-Schmidt orthonormalization, or a singular value decomposition (SVD). The third makes the vector S orthogonal to all vectors in Θ. By inserting μ(α)=S into Eqn. (20), we obtain the ZCZ for Eqn. (24).


Method to Determine Sk(u) and {tilde over (S)}k(u)


By applying Eqn. (16), we obtain the U×1 vector μ, form which we will determine {tilde over (S)}k(u) and {tilde over (S)}k(u). When using the matched filter, μ, becomes a real-valued vector (|Sk(0)|2,|Sk(1)|2, . . . , |Sk(U−1)|2)T. However, for the desired ψs{tilde over (s)}, the expected vector μ(α) can be complex-valued. Therefore, we modify the matched filter with phase as






{tilde over (S)}
k(u)
=S
k(u)
e


k(u)

∀u=0,1,2, . . . ,U−1,   (26)


which results in





μ=(|Sk(0)|2ek(0),|Sk(1)|2ek(1), . . . ,|Sk(U−1)|2ek(U−1))T,   (27)


based on Eqn. (22).


The disturbing phase φk(u) is obtained from μ. According to Eqns. (26) and (27), we obtain amplitudes |Sk(u)| and |{tilde over (S)}k(u)| as





|Sk(u)|=|{tilde over (S)}k(u)|=√{square root over (μ)} ∀u=0,1,2, . . . ,U−1.


The power loss during peak detection, due to phase disturbance, is negligible, see the last column of Table III. Our technique has the following advantages. We maintain the same amplitude property in the frequency domain as compared to the matched filter. The original phase of Sk(u) do not affect the amplitude or the phase of μ. Thus, we can minimize the PAPR by setting the phase of Sk(u) independently.


The phase of Sk(u) requires that the following properties hold. 1 ) The preamble should appear as a pseudo-random waveform in the time-domain 2 the sequence should have as low a PAPR as possible. Eqns. (26)-(28) can only the guarantee the preamble sequence has a ZCZ, but not the pseudo-random time-domain signal. Therefore, we apply a pseudo-random scrambling phase sequence ξk(u) (the phase uniformly distribution in [0, 2π) to the amplitude |Sk(u)|






S
k(u)
=|S
k(u)
|e


k(u)
.   (29)


The PAPR varies with the selection ξk(u). To achieve a low PAPR, we examime random phase sequences, and select the one with the lowest PAPR for randomizing.


Parameter Selection


Initialization of S


The vector S is initialized as the least square solution to












Ω


(
α
)



S

=


(

1
,


0
,





,
0





N
/
α

-

1





zeros





)

T


,
and




(
30
)







S
=



Ω
^



(
α
)




(

1
,


0
,





,
0





N
/
α

-

1





zeros





)



,




(
31
)







where {circumflex over (Ω)}(α) 460 denotes the psudeo-inverse of Ω(α).


Selection of Main Lobe Width and ZCZ Length


Given the main-lobe width and ZCZ length, we determine the corresponding OFDM symbol as described above. We select the length that can maximize the PSR to improve synchronization. Before searching for the optimal parameter set, we identify the domain of parameters M, WR, and WL 450. The selection of the main-lobe width (2M+1) satisfies





(2M+1)+Dmax−1≦Ng.   (32)


where Dmax is the maximum delay spread of the channel, and Ng is the CP length. This constraint guarantees that the convolution-output length between the main lobe of ψs{tilde over (s)}(τ) and h(τ) does not exceed Ng.


For the ZCZ length, we require that





WR=WL≧Ng,   (33)


which guarantees that the ZCZ length is long enough to acquire the time-domain channel features.


Because the rank of Ω(α) is equal to 2└U/2α┘, the maximum WR is limited such that





2WR≦2└U/2α┘−1.   (34)


If the above condition is violated, the number of independent vectors in Θ becomes 2└U/2α┘, the algorithm in FIG. 4 leads to μ(α)=0. To identify the domain of WR and M (characterized by Eqs. (32)-(34)), one can optimize PSR in order to suppress the potential ambiguity in time synchronization. Denoting PSR by ρ(WR,M), we then use a numerical search to find the optimal implementation, W*R and M*, such that










(


W
R
*

,

M
*


)

=



arg





min


(


W
R

,
M

)





{

ρ


(


W
R

,
M

)


}

.






(
35
)














TABLE II







Parameter Comparison Among various Preamble Designs

















Number of

10 dB



Power loss for




used
Period
Main lobe
ZCZ length

PAPR
peaf of CCF #


Scheme
FFT size N
subcarriers
(Samples)
Width
(WL = WR)
PSR (dB)
(dB)
(dB)


















ZCZ, 2nd
256
204
256
5
17
17.58
4.81
−0.019


symbol,


α = 1, U = 204


ZCZ, 2nd
256
102
128
5
17
14.52
4.08
−0.017


symbol,


α = 2, U = 102


ZCZ, 2nd
256
50
64
5
17
9.1
3.13
 0.014


symbol,


α = 4, U = 50


3rd symbol,
256
204
256
7
0
11.91
5
N/A


U = 204


802.11ag 1st
64
12
16
5
0
7.78
8.1
N/A


symbol


802.16e DL 1st
256
100
128
7
0
11.65
2.98
N/A


Symbol


802.16e DL 2nd
256
50
64
7
0
11.1
3.01
N/A


Symbol
















TABLE III







Values of Ck(u) for n = 256 α = 1 and U = 204














Real part of
Imag part of



u
k(u)
Ck(u)
Ck(u)
















0
1
−0.707106781
−0.707106781



1
2
0.707106781
−0.707106781



2
3
−0.707106781
0.707106781



3
4
0.707106781
−0.707106781



4
5
−0.707106781
0.707106781



5
6
−0.707106781
0.707106781



6
7
−0.707106781
0.707106781



7
8
0.707106781
−0.707106781



8
9
0.707106781
0.707106781



9
10
0.707106781
−0.707106781



10
11
−0.707106781
−0.707106781



11
12
0.707106781
−0.707106781



12
13
0.707106781
0.707106781



13
14
0.707106781
−0.707106781



14
15
−0.707106781
−0.707106781



15
16
0.707106781
−0.707106781



16
17
−0.707106781
−0.707106781



17
18
−0.707106781
0.707106781



18
19
−0.707106781
−0.707106781



19
20
−0.707106781
−0.707106781



20
21
−0.707106781
−0.707106781



21
22
0.707106781
−0.707106781



22
23
0.707106781
0.707106781



23
24
−0.707106781
−0.707106781



24
25
0.707106781
0.707106781



25
26
−0.707106781
−0.707106781



26
27
0.707106781
−0.707106781



27
28
0.707106781
0.707106781



28
29
−0.707106781
0.707106781



29
30
−0.707106781
0.707106781



30
31
−0.707106781
−0.707106781



31
32
−0.707106781
−0.707106781



32
33
−0.707106781
0.707106781



33
34
0.707106781
−0.707106781



34
35
0.707106781
−0.707106781



35
36
0.707106781
−0.707106781



36
37
0.707106781
−0.707106781



37
38
0.707106781
−0.707106781



38
39
0.707106781
−0.707106781



39
40
0.707106781
0.707106781



40
41
0.707106781
−0.707106781



41
42
0.707106781
−0.707106781



42
43
0.707106781
0.707106781



43
44
−0.707106781
−0.707106781



44
45
−0.707106781
0.707106781



45
46
−0.707106781
0.707106781



46
47
−0.707106781
−0.707106781



47
48
0.707106781
−0.707106781



48
49
0.707106781
0.707106781



49
50
−0.707106781
−0.707106781



50
51
−0.707106781
0.707106781



51
52
−0.707106781
0.707106781



52
53
0.707106781
0.707106781



53
54
−0.707106781
0.707106781



54
55
−0.707106781
−0.707106781



55
56
−0.707106781
−0.707106781



56
57
−0.707106781
0.707106781



57
58
−0.707106781
−0.707106781



58
59
−0.707106781
0.707106781



59
60
0.707106781
−0.707106781



60
61
−0.707106781
0.707106781



61
62
0.707106781
0.707106781



62
63
0.707106781
−0.707106781



63
64
−0.707106781
−0.707106781



64
65
0.707106781
−0.707106781



65
66
0.707106781
−0.707106781



66
67
0.707106781
0.707106781



67
68
−0.707106781
0.707106781



68
69
0.707106781
−0.707106781



69
70
−0.707106781
0.707106781



70
71
−0.707106781
−0.707106781



71
72
0.707106781
0.707106781



72
73
−0.707106781
0.707106781



73
74
0.707106781
−0.707106781



74
75
−0.707106781
0.707106781



75
76
0.707106781
0.707106781



76
77
0.707106781
0.707106781



77
78
0.707106781
0.707106781



78
79
0.707106781
0.707106781



79
80
0.707106781
−0.707106781



80
81
−0.707106781
−0.707106781



81
82
−0.707106781
−0.707106781



82
83
0.707106781
−0.707106781



83
84
0.707106781
0.707106781



84
85
−0.707106781
0.707106781



85
86
0.707106781
0.707106781



86
87
0.707106781
0.707106781



87
88
0.707106781
−0.707106781



88
89
−0.707106781
−0.707106781



89
90
−0.707106781
−0.707106781



90
91
−0.707106781
−0.707106781



91
92
−0.707106781
0.707106781



92
93
0.707106781
−0.707106781



93
94
−0.707106781
0.707106781



94
95
−0.707106781
−0.707106781



95
96
0.707106781
0.707106781



96
97
−0.707106781
0.707106781



97
98
0.707106781
−0.707106781



98
99
−0.707106781
−0.707106781



99
100
0.707106781
0.707106781



100
101
0.707106781
−0.707106781



101
102
−0.707106781
−0.707106781



102
−102
0.70710678
0.70710678



103
−101
0.70710678
−0.70710678



104
−100
0.70710678
−0.70710678



105
−99
−0.70710678
0.70710678



106
−98
−0.70710678
−0.70710678



107
−97
0.70710678
−0.70710678



108
−96
−0.70710678
−0.70710678



109
−95
−0.70710678
0.70710678



110
−94
−0.70710678
−0.70710678



111
−93
0.70710678
0.70710678



112
−92
0.70710678
0.70710678



113
−91
0.70710678
0.70710678



114
−90
0.70710678
0.70710678



115
−89
0.70710678
−0.70710678



116
−88
−0.70710678
0.70710678



117
−87
0.70710678
0.70710678



118
−86
−0.70710678
0.70710678



119
−85
0.70710678
0.70710678



120
−84
−0.70710678
0.70710678



121
−83
−0.70710678
0.70710678



122
−82
−0.70710678
−0.70710678



123
−81
−0.70710678
0.70710678



124
−80
0.70710678
0.70710678



125
−79
0.70710678
0.70710678



126
−78
−0.70710678
−0.70710678



127
−77
−0.70710678
−0.70710678



128
−76
−0.70710678
−0.70710678



129
−75
−0.70710678
−0.70710678



130
−74
−0.70710678
0.70710678



131
−73
0.70710678
−0.70710678



132
−72
0.70710678
−0.70710678



133
−71
0.70710678
−0.70710678



134
−70
−0.70710678
−0.70710678



135
−69
−0.70710678
0.70710678



136
−68
−0.70710678
−0.70710678



137
−67
−0.70710678
−0.70710678



138
−66
−0.70710678
−0.70710678



139
−65
−0.70710678
−0.70710678



140
−64
−0.70710678
−0.70710678



141
−63
0.70710678
−0.70710678



142
−62
−0.70710678
−0.70710678



143
−61
−0.70710678
−0.70710678



144
−60
0.70710678
−0.70710678



145
−59
0.70710678
0.70710678



146
−58
−0.70710678
0.70710678



147
−57
−0.70710678
−0.70710678



148
−56
−0.70710678
0.70710678



149
−55
0.70710678
0.70710678



150
−54
−0.70710678
0.70710678



151
−53
−0.70710678
0.70710678



152
−52
−0.70710678
0.70710678



153
−51
−0.707106781
−0.707106781



154
−50
0.707106781
−0.707106781



155
−49
0.707106781
0.707106781



156
−48
−0.707106781
0.707106781



157
−47
0.707106781
−0.707106781



158
−46
−0.707106781
−0.707106781



159
−45
0.707106781
0.707106781



160
−44
0.707106781
−0.707106781



161
−43
−0.707106781
0.707106781



162
−42
0.707106781
−0.707106781



163
−41
−0.707106781
0.707106781



164
−40
0.707106781
−0.707106781



165
−39
0.707106781
0.707106781



166
−38
0.707106781
−0.707106781



167
−37
0.707106781
0.707106781



168
−36
−0.707106781
0.707106781



169
−35
−0.707106781
0.707106781



170
−34
0.707106781
0.707106781



171
−33
−0.707106781
0.707106781



172
−32
−0.707106781
−0.707106781



173
−31
0.707106781
−0.707106781



174
−30
−0.707106781
−0.707106781



175
−29
0.707106781
0.707106781



176
−28
−0.707106781
−0.707106781



177
−27
0.707106781
−0.707106781



178
−26
0.707106781
0.707106781



179
−25
−0.707106781
0.707106781



180
−24
−0.707106781
0.707106781



181
−23
−0.707106781
−0.707106781



182
−22
−0.707106781
−0.707106781



183
−21
0.707106781
−0.707106781



184
−20
0.707106781
−0.707106781



185
−19
0.707106781
0.707106781



186
−18
−0.707106781
0.707106781



187
−17
−0.707106781
0.707106781



188
−16
−0.707106781
−0.707106781



189
−15
−0.707106781
−0.707106781



190
−14
−0.707106781
0.707106781



191
−13
−0.707106781
0.707106781



192
−12
0.707106781
0.707106781



193
−11
−0.707106781
−0.707106781



194
−10
−0.707106781
0.707106781



195
−9
−0.707106781
0.707106781



196
−8
0.707106781
0.707106781



197
−7
−0.707106781
−0.707106781



198
−6
−0.707106781
0.707106781



199
−5
−0.707106781
−0.707106781



200
−4
−0.707106781
0.707106781



201
−3
−0.707106781
−0.707106781



202
−2
−0.707106781
0.707106781



203
−1
0.707106781
−0.707106781

















TABLE IV







Values for Sk(u) for n = 256 α = 1 and U = 204














Real part of
Imag part of



u
k(u)
Ck(u)
Ck(u)
















0
1
−1.249226658
0.984532088



1
2
1.34234257
−0.824204614



2
3
−0.916966774
1.251714954



3
4
0.365432918
1.478357117



4
5
0.658871497
−1.338999666



5
6
1.438449344
−0.270875123



6
7
0.533665265
1.337750232



7
8
−0.368993318
−1.375438718



8
9
1.166697747
−0.802119591



9
10
−1.410121771
0.113721519



10
11
−0.56013175
−1.303338105



11
12
0.596145066
1.294071114



12
13
1.429826204
−0.041152429



13
14
−0.67829606
1.262489378



14
15
−0.029984472
1.431211917



15
16
−1.399391135
0.268917812



16
17
−0.399003639
−1.356579858



17
18
−1.109131656
−0.854151827



18
19
−0.565462715
1.263562485



19
20
1.277326185
−0.492735428



20
21
−1.108368729
−0.780595384



21
22
1.343618726
−0.060153123



22
23
0.380738448
1.281729355



23
24
−1.321214624
0.164077831



24
25
1.32432103
−0.078037964



25
26
1.241680951
−0.452151554



26
27
1.313006033
−0.063879986



27
28
0.472860949
1.216409931



28
29
0.463171734
−1.206888592



29
30
0.016573228
1.27762121



30
31
−1.260581159
−0.029550731



31
32
−1.137750962
0.501598193



32
33
−1.223791717
−0.07898513



33
34
−0.679260765
1.002106696



34
35
−0.446506653
−1.110345348



35
36
−0.96994257
−0.680214406



36
37
−0.058965728
1.172356473



37
38
−1.155734604
−0.132573951



38
39
−0.028726442
1.151745981



39
40
−1.136694305
−0.0777623



40
41
0.798607784
−0.791719081



41
42
0.192067502
1.090837355



42
43
0.426702106
−1.001895494



43
44
−0.516121202
0.936572387



44
45
0.291650767
1.008382113



45
46
0.676475901
0.777857103



46
47
0.906877345
0.45229867



47
48
0.623240457
−0.778847914



48
49
−0.97939411
0.082732686



49
50
0.955133139
−0.162520801



50
51
0.764799547
0.571287706



51
52
0.888588181
−0.304609382



52
53
−0.10021742
0.917063634



53
54
−0.05989417
0.901995646



54
55
0.788591284
−0.399456175



55
56
−0.84285014
0.186210676



56
57
0.794892833
−0.278740643



57
58
−0.52414496
−0.633609875



58
59
−0.12762195
−0.793403022



59
60
0.145419267
0.772813476



60
61
0.004382175
0.770310909



61
62
0.754769707
−0.002375691



62
63
−0.28570034
−0.68142378



63
64
−0.65388085
−0.30598984



64
65
−0.5005574
0.494270333



65
66
−0.48852194
−0.478036467



66
67
0.647054768
0.1424309



67
68
−0.59514936
−0.239320357



68
69
0.546551313
−0.295354439



69
70
0.542412289
−0.262769059



70
71
0.397641609
−0.430656096



71
72
0.06671118
0.567355292



72
73
0.512451361
−0.218440625



73
74
−0.54086437
−0.038832057



74
75
0.486929652
0.197800459



75
76
0.439013563
0.25204327



76
77
−0.44834169
−0.182933405



77
78
0.190496206
0.419369764



78
79
−0.27209638
−0.342351356



79
80
0.415419265
−0.033829581



80
81
−0.39991616
−0.032360781



81
82
−0.33853954
−0.196501364



82
83
0.250039355
0.29433547



83
84
0.316955439
−0.213788238



84
85
−0.36536222
0.08656002



85
86
0.267345697
−0.243290158



86
87
0.070150606
−0.329869317



87
88
0.294324352
−0.066533854



88
89
−0.25306932
−0.045129724



89
90
0.029265398
0.208401819



90
91
−0.05909352
−0.167830368



91
92
−0.17121856
−0.056691981



92
93
−0.12627108
0.17707097



93
94
−0.09621092
0.248071086



94
95
−0.24827403
0.174779284



95
96
−0.29771913
0.092494776



96
97
0.113344305
0.245355745



97
98
−0.02151985
−0.125148139



98
99
0.215726394
0.109819811



99
100
−0.31761333
0.082921765



100
101
0.191603878
−0.121811777



101
102
−0.26944205
−0.396828481



102
−102
0.474954245
0.067009911



103
−101
0.127932167
0.187572694



104
−100
−0.044057772
−0.325289343



105
−99
−0.179381381
0.162544112



106
−98
0.043148328
0.119429402



107
−97
0.266653518
−0.044071242



108
−96
−0.027927685
0.310502826



109
−95
−0.071915228
−0.294984733



110
−94
−0.122834477
0.236024356



111
−93
0.216054551
0.024878586



112
−92
−0.041241175
0.175581725



113
−91
−0.177764331
0.007675876



114
−90
−0.167308262
−0.127654718



115
−89
−0.219751742
−0.133378953



116
−88
−0.145546828
−0.26432877



117
−87
0.193839276
0.275973203



118
−86
−0.340508395
−0.121317167



119
−85
0.089574095
−0.364634986



120
−84
−0.03396008
0.38080556



121
−83
−0.092893679
0.374865059



122
−82
−0.341613572
−0.19110723



123
−81
−0.029046715
0.40017052



124
−80
−0.377617722
0.176415596



125
−79
−0.433857676
−0.054848978



126
−78
0.39335448
0.239649863



127
−77
−0.295936481
−0.383270794



128
−76
0.501968679
0.065468795



129
−75
0.223150802
0.475845802



130
−74
−0.53480507
0.089586447



131
−73
−0.248728214
−0.498454592



132
−72
−0.484686837
−0.302359188



133
−71
0.22877099
0.53967338



134
−70
−0.059931097
0.59972238



135
−69
0.003933953
−0.621238365



136
−68
0.640369119
0.037475129



137
−67
−0.617501721
0.240120926



138
−66
0.678087039
−0.085851701



139
−65
0.156656991
0.685798411



140
−64
−0.419708791
−0.587396361



141
−63
0.414916326
−0.611397985



142
−62
0.419424079
0.627508085



143
−61
0.676257373
−0.368882184



144
−60
−0.286744036
0.732233084



145
−59
0.176148159
0.78405838



146
−58
0.472581735
0.672945699



147
−57
0.736066673
0.409581267



148
−56
−0.066533299
0.860606815



149
−55
−0.85861476
−0.210290615



150
−54
−0.816148443
−0.388696766



151
−53
0.609250114
0.692721833



152
−52
0.426801223
−0.836789428



153
−51
−0.954143236
−0.029977914



154
−50
−0.692414421
−0.677683255



155
−49
0.921125323
0.342907655



156
−48
−0.996397748
−0.047162143



157
−47
−0.811167938
−0.607459614



158
−46
−0.326524686
−0.977784714



159
−45
−0.377385093
0.979528023



160
−44
−1.058090047
0.154901211



161
−43
−0.992365685
−0.448419019



162
−42
−1.043213093
−0.372186112



163
−41
0.571211914
0.968664258



164
−40
−0.297109706
−1.099930335



165
−39
0.879813828
0.743822318



166
−38
−0.33443207
1.11420533



167
−37
0.99170248
0.628030929



168
−36
−0.918771041
0.747890367



169
−35
−0.504892042
1.085043322



170
−34
−0.756172462
−0.945418544



171
−33
−0.509311989
1.115574343



172
−32
−0.540065849
−1.12000307



173
−31
−0.485049209
−1.163900927



174
−30
−1.06026272
−0.713045294



175
−29
0.554017783
1.167977921



176
−28
0.742594211
−1.073221522



177
−27
−0.060648926
1.313159245



178
−26
1.127636188
0.688947922



179
−25
0.257587528
−1.301370347



180
−24
1.251359458
−0.454564763



181
−23
−0.981995149
0.907456573



182
−22
1.063094807
−0.823868382



183
−21
1.218462134
0.594273019



184
−20
−0.768875904
1.132775454



185
−19
0.020536438
1.384166352



186
−18
1.291060271
−0.541213223



187
−17
−0.082103268
1.411655718



188
−16
−0.856703173
1.13871507



189
−15
−1.386566273
−0.355950266



190
−14
−0.232562628
−1.414170994



191
−13
0.570617007
−1.311675542



192
−12
−0.954729167
−1.057592173



193
−11
−1.293978356
0.581427389



194
−10
0.066266825
1.413147091



195
−9
−0.997746938
−1.004529999



196
−8
−1.391879779
0.301095361



197
−7
−1.265423997
−0.687805499



198
−6
−1.455203248
−0.157776275



199
−5
0.906478085
1.185465832



200
−4
−1.457356714
−0.44180583



201
−3
−0.399590916
1.499315007



202
−2
1.244034898
−0.966216328



203
−1
0.021406419
−1.590412664

















TABLE V







Values of Sk(u) for n = 256 α = 2 and U = 204














Real part of
Imag part of



u
k(u)
Ck(u)
Ck(u)
















0
1
0
0



1
2
−2.43480037
0.153762063



2
3
0
0



3
4
1.896044173
1.260945482



4
5
0
0



5
6
−1.837637932
0.990724198



6
7
0
0



7
8
−0.547935251
−1.882625437



8
9
0
0



9
10
−0.29887645
−1.919446863



10
11
0
0



11
12
0.015918336
1.998018419



12
13
0
0



13
14
1.881708488
0.817892047



14
15
0
0



15
16
−1.011600019
1.785727327



16
17
0
0



17
18
0.820258715
−1.82120569



18
19
0
0



19
20
1.86550034
0.467504758



20
21
0
0



21
22
0.151005439
−1.867851857



22
23
0
0



23
24
−1.067351223
1.530384066



24
25
0
0



25
26
−1.527887267
−1.088608485



26
27
0
0



27
28
1.50371047
−1.108803589



28
29
0
0



29
30
−0.502066211
−1.75417773



30
31
0
0



31
32
1.687613418
0.487065393



32
33
0
0



33
34
1.583365073
−0.601106509



34
35
0
0



35
36
1.614424541
0.377879054



36
37
0
0



37
38
−1.158313007
1.167353214



38
39
0
0



39
40
1.334703891
0.930597428



40
41
0
0



41
42
1.471555658
0.5867829



42
43
0
0



43
44
−0.208936518
1.501881311



44
45
0
0



45
46
1.012305522
1.030603449



46
47
0
0



47
48
0.626073135
−1.243918163



48
49
0
0



49
50
−0.593646334
−1.228203515



50
51
0
0



51
52
−0.808589639
1.068521635



52
53
0
0



53
54
−1.120419528
0.653371535



54
55
0
0



55
56
−1.223494011
0.118828897



56
57
0
0



57
58
−0.298116861
1.113596003



58
59
0
0



59
60
−0.834996208
−0.704042885



60
61
0
0



61
62
0.419672577
−0.969766278



62
63
0
0



63
64
0.996006618
0.262536787



64
65
0
0



65
66
−0.83023483
−0.534648368



66
67
0
0



67
68
−0.318009689
−0.863323464



68
69
0
0



69
70
0.119816938
0.834510382



70
71
0
0



71
72
−0.687863326
−0.375248033



72
73
0
0



73
74
−0.02121135
0.751164122



74
75
0
0



75
76
0.529060434
0.49710691



76
77
0
0



77
78
−0.585030742
−0.3446326



78
79
0
0



79
80
0.344698558
0.499195194



80
81
0
0



81
82
0.470646002
0.260129064



82
83
0
0



83
84
0.347385696
0.367447536



84
85
0
0



85
86
0.425567674
−0.254033742



86
87
0
0



87
88
−0.371381785
−0.259640249



88
89
0
0



89
90
−0.020387076
0.350217839



90
91
0
0



91
92
−0.064769884
0.249221688



92
93
0
0



93
94
0.32303062
−0.028998848



94
95
0
0



95
96
0.398258368
−0.123388256



96
97
0
0



97
98
0.221538141
0.147644221



98
99
0
0



99
100
0.10886564
−0.432767869



100
101
0
0



101
102
0.446704694
0.108444411



102
−102
−0.274543454
0.36868844



103
−101
0
0



104
−100
−0.074065821
0.440061371



105
−99
0
0



106
−98
−0.262263022
0.045782871



107
−97
0
0



108
−96
−0.335007702
0.248201992



109
−95
0
0



110
−94
−0.018993877
0.323772987



111
−93
0
0



112
−92
0.22974254
−0.11629683



113
−91
0
0



114
−90
0.016080833
0.35044197



115
−89
0
0



116
−88
0.340791036
−0.298661948



117
−87
0
0



118
−86
0.453726248
−0.199432894



119
−85
0
0



120
−84
0.490604592
0.122481213



121
−83
0
0



122
−82
−0.328085607
0.426068801



123
−81
0
0



124
−80
0.206109446
0.570553971



125
−79
0
0



126
−78
0.330923657
0.592893019



127
−77
0
0



128
−76
−0.703711807
−0.178353346



129
−75
0
0



130
−74
−0.336320155
0.672001646



131
−73
0
0



132
−72
−0.464140399
0.631300825



133
−71
0
0



134
−70
0.090798123
0.83816429



135
−69
0
0



136
−68
−0.28017439
0.8763332



137
−67
0
0



138
−66
0.777003318
−0.609429728



139
−65
0
0



140
−64
0.578462395
0.852253487



141
−63
0
0



142
−62
0.523821168
−0.917705339



143
−61
0
0



144
−60
−0.31612641
1.045446863



145
−59
0
0



146
−58
0.48382755
−1.046365435



147
−57
0
0



148
−56
1.109744141
0.528702037



149
−55
0
0



150
−54
0.270657507
1.26845528



151
−53
0
0



152
−52
−0.90009108
−0.992668997



153
−51
0
0



154
−50
−0.488973663
−1.273500923



155
−49
0
0



156
−48
−0.423626921
1.326589687



157
−47
0
0



158
−46
1.138586585
−0.889115587



159
−45
0
0



160
−44
−1.505223658
0.183313067



161
−43
0
0



162
−42
0.21486903
−1.56959279



163
−41
0
0



164
−40
1.115005719
−1.184992952



165
−39
0
0



166
−38
1.488585347
−0.698939348



167
−37
0
0



168
−36
1.056970921
−1.277486458



169
−35
0
0



170
−34
−1.495127053
0.795593542



171
−33
0
0



172
−32
−1.380695043
1.085795996



173
−31
0
0



174
−30
−1.098140656
1.457153762



175
−29
0
0



176
−28
−0.273558715
−1.848176455



177
−27
0
0



178
−26
−1.853219664
−0.291693013



179
−25
0
0



180
−24
1.723198017
0.715473702



181
−23
0
0



182
−22
1.73935864
−0.697355523



183
−21
0
0



184
−20
−1.347581697
−1.372106332



185
−19
0
0



186
−18
−1.635456167
1.146689866



187
−17
0
0



188
−16
1.646168436
1.225677839



189
−15
0
0



190
−14
1.967332734
−0.582559995



191
−13
0
0



192
−12
1.986257034
−0.217057571



193
−11
0
0



194
−10
0.05820588
−1.941704269



195
−9
0
0



196
−8
−1.306986646
1.461607842



197
−7
0
0



198
−6
1.78953218
1.07518472



199
−5
0
0



200
−4
0.128503989
−2.273423353



201
−3
0
0



202
−2
1.478049055
−1.940944771



203
−1
0
0






















TABLE VI









Real part of
Imag part of



u
k(u)
Ck(u)
Ck(u)





















0
1
0
0



1
2
0
0



2
3
0
0



3
4
9.45E−05
−3.913294166



4
5
0
0



5
6
0
0



6
7
0
0



7
8
2.349493853
0.587036193



8
9
0
0



9
10
0
0



10
11
0
0



11
12
0.25730963
2.68801568



12
13
0
0



13
14
0
0



14
15
0
0



15
16
2.771722054
−1.449189001



16
17
0
0



17
18
0
0



18
19
0
0



19
20
−2.355713657
1.221335601



20
21
0
0



21
22
0
0



22
23
0
0



23
24
0.181420571
2.507093518



24
25
0
0



25
26
0
0



26
27
0
0



27
28
−2.607638884
−0.949076342



28
29
0
0



29
30
0
0



30
31
0
0



31
32
1.833386595
1.688499107



32
33
0
0



33
34
0
0



34
35
0
0



35
36
−1.023228221
−1.970227148



36
37
0
0



37
38
0
0



38
39
0
0



39
40
2.273624944
−0.714624765



40
41
0
0



41
42
0
0



42
43
0
0



43
44
1.108961407
1.893217116



44
45
0
0



45
46
0
0



46
47
0
0



47
48
1.843479023
0.037247068



48
49
0
0



49
50
0
0



50
51
0
0



51
52
1.283089344
1.452608779



52
53
0
0



53
54
0
0



54
55
0
0



55
56
1.29447444
−1.279868358



56
57
0
0



57
58
0
0



58
59
0
0



59
60
1.319339868
0.509538169



60
61
0
0



61
62
0
0



62
63
0
0



63
64
1.013661304
−1.055332416



64
65
0
0



65
66
0
0



66
67
0
0



67
68
0.457650107
1.342087679



68
69
0
0



69
70
0
0



70
71
0
0



71
72
−0.94273949
−0.175122345



72
73
0
0



73
74
0
0



74
75
0
0



75
76
0.995205695
0.023256247



76
77
0
0



77
78
0
0



78
79
0
0



79
80
0.808011809
0.640711198



80
81
0
0



81
82
0
0



82
83
0
0



83
84
0.190854252
−0.437093534



84
85
0
0



85
86
0
0



86
87
0
0



87
88
−0.31933541
0.49166784



88
89
0
0



89
90
0
0



90
91
0
0



91
92
−0.60415739
0.364083586



92
93
0
0



93
94
0
0



94
95
0
0



95
96
0.155356328
−0.367608093



96
97
0
0



97
98
0
0



98
99
0
0



99
100
−0.45952476
0.129785257



100
101
0
0



101
102
0
0



102
−102
0
0



103
−101
0
0



104
−100
−0.467894126
0.095301109



105
−99
0
0



106
−98
0
0



107
−97
0
0



108
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Although the invention has been described with reference to certain preferred embodiments, it is to be understood that various other adaptations and modifications can be made within the spirit and scope of the invention. Therefore, it is the object of the append claims to cover all such variations and modifications as come within the true spirit and scope of the invention.

Claims
  • 1. to increase A method for communicating in an oversampled orthogonal frequency-division multiplexing (OFDM) orthogonal network, wherein a preamble used for time synchronization does not have an ideal autocorrelation function, comprising a processor in a transmitter for performing steps of the method, comprising the steps of: constructing a zero-correlation-zone (ZCZ) based preamble for time synchronization, wherein a cross correlation function (CCF) used for time synchronization is forced to 0 within a certain region around a main lobe, and a length of the ZCZ is guaranteed to be larger than a cyclic prefix length of OFDM data symbols to increase synchronization accuracy; andtransmitting the OFDM symbols with the ZCZ based preamble.
  • 2. The method of claim 1, wherein the ZCZ based preamble is constructed as listed in Table IV, incorporated herein by reference.
  • 3. The method of claim 1, wherein the ZCZ based preamble is constructed as listed in Table V, incorporated herein by reference.
  • 4. The method of claim 1, wherein the ZCZ based preamble is constructed as listed in Table VI, incorporated herein by reference.
  • 5. The method of claim 1, wherein the ZCZ based preamble is constructed as listed in Table VII, incorporated herein by reference.