This invention relates to electronic communication of messages, and more particularly to communication of information for Internet, digital television, data broadcasting and other wideband applications.
Transmission of Internet signals and of digital television (TV) signals poses different but continuing challenges for each activity. Internet signal transmission faces the problems of reliable broadcasting and multicasting of messages, provision of mobility for signal transmitter and for recipient, and limitations on information transfer rate (“speed”). Transmission of digital TV signals faces the problems of providing an interactive system, providing point-to-point information transfer capacity, and mobility of the recipient. The system should be efficient in the sense that the payload or data portion of each transmitted frame is a large fraction of the total frame. At the same time, the system should be able to identify, and compensate for, varying characteristics of the transmission channel, including but not limited to time delay associated with transmission of each frame.
What is needed is a system that provides timing recovery, carrier recovery and estimation of channel characteristics associated with signal propagation in a channel, and that also serves as a guard interval and as a frame synchronizer for the transmitted signal.
The invention meets these needs by providing a pseudo-random or pseudo-noise (PN) sequence for each transmitted frame, where the PN sequence satisfy certain orthogonality and closure relations with respect to algebraic operations such as convolution, Boolean addition and position shift within a segment. A convolution signal is formed between a received signal (transmitted through a channel) and one or more of a selected sequence of the PN sequences. This convolution signal is analyzed to identify the beginning or end of a PN sequence, to identify time delay in the channel, and to permit timing recovery. A carrier frequency for the received signal can be recovered from the signal symbols (bit, nibbles, bytes, etc.) that make up the PN sequences, and synchronization of signal frames can be implemented. Characteristics of the transmission channel can be estimated from the time delays and associated phase shifts. A PN sequence can be positioned within a signal frame to serve as a guard interval for an orthogonal frequency, multiple carrier modulation (“OFDM”) scheme. Taken together, these features allow demodulation of a transmitted signal within an OFDM scheme.
An OFDM format for a signal in first and second configurations is shown in
A pseudo-random or pseudo-noise (PN) sequence, a coded m-sequence of symbols, is used in an OFDM format. An m-sequence is a sequence of symbols, usually 0's and 1's, of a selected length that satisfies three requirements: (1) the number of symbols of different types (e.g., the number of 0's and the number of 1's) is “balanced”, or approximately the same, over the set of such sequences; (2) the Boolean sum of any two m-sequences, and the result of end-around shifting of symbols in any m-sequence, is again an m-sequence; and (3) the convolution of two m-sequences, MS(t;i) and MS(t;j), satisfies an orthogonality condition:
MS(t+Δt;i)*MS(t;j)=δ(Δt)·δ(i,j), (1)
where δ(Δt) is a modified delta function (δ(Δt)=0 for |Δt|>Δt1) and δ(i,j) is a Kronecker delta (=0 unless i=j). The Kronecker delta can be omitted if the m-sequence is independent of the index number i, or if the index numbers are known to satisfy i=j. The length of an m-sequence is most conveniently chosen to be 2J−1, where J is a selected positive integer, such as J=7, 8 or 9.
A subset of the set of all m-sequences, referred to as coded m-sequences and denoted PN(t;i) for an index number i, are of interest. A set of (coded) PN sequences may be generated using Walsh sequence coding or using a similar Haar sequence coding. Techniques for generating Walsh codes or Haar codes are discussed in T. J. Lynch, Data Compression, Van Nostrand, New York, 1985, pp. 79–85, and in V. J. Garg, K. Smolik and J. E. Wilkes, Applications of CDMA in Wireless/Personal Communications, Prentice Hall, Upper Saddle River, N.J., 1997, pp. 23–39. Other sets of PN sequences, satisfying Eq. (1), can be generated and used as well.
A PN sequence is a Mth order m-sequence that can be implemented by a Fibonacci-type linear feedback shift register (LFSR) that is well known in the art. One suitable characteristic polynomial, associated with the LFSR and used for the choice M=9, is
p(x;4;9)=1+x4+x9. (2)
An initial condition mask, applied to the LFSR, determines the initial condition of, and thus the phase of, a PN sequence that is generated. Any other suitable characteristic polynomial can be used here, consistent with the choice of order M.
In a first embodiment, illustrated in
In a third embodiment, illustrated in
In the format shown in
The information transfer unit used here is a signal frame, which includes the frame body 21A or 21B in the format shown in
Let Tr(t) be a signal representing a sequence of transmitted signal frames, as illustrated in
A sequence of idealized modified signal frames can be decomposed into two non-overlapping sequences: a first sequence S1 of PN sequences PN(t;i;ideal), and a second sequence S2 of DFT blocks DFT(t;i;ideal), as illustrated in
However, each transmitted signal frame is subject to signal time delay, including multipath signal degradation, and reasonably precise timing is required in order to distinguish a PN sequence from any other segment within a signal frame.
Let h(t) be a response to transmission of an impulse signal δ(t) (modified delta function with infinitesimal width Δt1) along the transmission channel TC used for a signal frame. If the sign Tr(t) is transmitted along the channel TC, a receive signal Rc(t) may be expressed as a convolution of the transmitted signal and the impulse response signal,
Rc(t2)=Tr(t1)*h(t2−t1), (3)
Tr(t)=PN(t;i;ideal)+mp(t)(t=(i;Rc)≦t<t′(i+1;Rc), (4)
where * indicates that a convolution or correlation operation is performed on the two signals Tr(t1) and h(t2−t1). Because of the orthogonal construction of each PN sequence in Eq. (1), one verifies that
PN(t+Δt;i;ideal)*PN(t;j;ideal)=δ(Δt)·δ(i,j) (5)
PN(t+Δt;i;ideal)*Rc(t)=δ(Δt)*h(t)+(small residual due to mp(t)) (6)
within a time interval t′(i;Rc)≦t≦t″(i;Rc), where the Kronecker delta index δ(i,j) (=0 or 1) can be dropped if the PN sequences PN(t;i;ideal) are independent of the index i, or if the particular PN sequence (i) is known and i=j.
Where the sequence PN(t;i;ideal) is known and the impulse response h(t) is measurable, and thus known, for the channel TC, the convolution signal formed in Eq. (6) can be used to determine time points (t=t′(i;Rc) and t=t″(i;Rc)) corresponding to the “edges” of the idealized PN signal, as received at the receiver after transmission through the channel TC. Segments of the received signal, defined by
Rc(t;i)=Rc(t) (t′(i;Rc)≦t≦t″(i;Rc))=0 (other values of t), (7)
can thus be concatenated to form a composite signal
k2
Rc(t; Δt;comp)=ΣPN(t+Δt;k)*Rc(t;i),
k=k1 (8)
where k1 and k2 (≧k1) are selected integers for the sequence of signal frames analyzed. The composite signal Rc(t; Δt;comp)) is then subtracted from the received signal Rc(t) to obtain the remainder signal
Rc(t;rem)=Rc(t)−Rc(t; Δt;comp), (9)
which explicitly exhibits the effects of multipath on the received signal in each of the time intervals t″(i;Rc)≦t≦t′(i+1;Rc). From this multipath information, one can identify the beginning and end of each (time delayed) DFT block and the corresponding PN sequence, and thus identify a signal frame within a sequence of signal frames.
After the time delay associated with a received frame is determined or estimated, signal carrier frequency can be recovered and frequency shift and/or frequency drift can be estimated, using the known symbol pattern incorporated in a PN sequence associated with the signal frame.
One or more transmission channel characteristics can be estimated, frame-by-frame or over a group of frames, using a knowledge of time delay and frequency shift and/or frequency drift for the frame(s).
In the frequency domain, a signal frame has an associated bandwidth Δf1. Adequate coverage of this bandwidth without producing an alias signal requires that the sampling rate in the time domain for a DFT block and for its associated PN sequence be at least equal to the Nyquist rate. In some instances, this may require a sampling rate greater than the symbol rate for the signal frame.
The delta function produced by the convolution operation in Eq. (1) has a very small, but non-zero, temporal width Δt1, and provision of a signal having this width in the time domain requires use of a corresponding bandwidth Δf2 in the frequency domain. The actual bandwidth Δf1 provided for the signal frame should be at least equal to the required bandwidth Δf2.
One method of estimating one or more transmission channel characteristics analyzes the Fourier transform FT(f;Rc) of a received signal Rc(t) corresponding to transmission of an impulse function h(t). Ideally, the Fourier transform FT(f;Rc) is approximately a sync function,
FT(f;Rc;ideal)=sync(f/f0), (10)
with an appropriate choice of a reference frequency f0 representing the bandwidth in the Fourier domain. The deviation of the actual Fourier transform FT(f;Rc) from the ideal transform FT(f,Rc;ideal) can be used to estimate one or more (time varying) characteristics for the transmission channel, frame by frame or over a sequence of frames, as desired.
Once the time delay associated with a PN sequence (associated with a signal frame) is determined and compensated for, the PN sequence can be used to synchronize its associated signal frame.
In any of the formats shown in
Insertion and analysis of a PN sequence in each transmitted signal frame allows the following: (1) recovery of timing, frame by frame if desired, and estimation of multipath signal degradation; (2) recovery of carrier frequency; (3) estimation of one or more transmission channel parameters; (4) deletion of a guard interval that serves only as a guard interval; and (5) synchronization of each signal frame received.
Number | Name | Date | Kind |
---|---|---|---|
6449245 | Ikeda et al. | Sep 2002 | B1 |
6487252 | Kleider et al. | Nov 2002 | B1 |
6567374 | Bohnke et al. | May 2003 | B1 |
20020034264 | Vigil | Mar 2002 | A1 |
20020122381 | Wu et al. | Sep 2002 | A1 |