1. Field of the Invention
The present invention relates generally to processes that create time diversity in systems with high processing gain. More specifically, the invention relates to a system and method of turbo code interleaving mapping where the number of tail bits required to flush the storage registers of each constituent encoder to an all-zero state are reduced.
2. Description of the Prior Art
In many types of data communication systems, whether voice or non-voice, signal diversity or redundancy when transmitting information is shown to improve performance without compromising other aspects of the data transmission system. Two techniques that add time diversity are known as interleaving and forward error-correcting (FEC) coding.
The process of interleaving is where the input data sequence is permuted or reordered into another sequence. For example:
where the mathematical operator IN[J] transposes the original position of each bit or symbol of a finite input sequence to a new position J by operation of the interleaver IN. This reordering process that achieves time diversity is called interleaving and can be performed in a number of ways. Two methods of typical interleaving are known as block and random interleaving.
At the transmission destination, the signal is again reordered, putting the data sequence back in the original order. The inverse process is called deinterleaving.
The most recent advance in coding techniques which exhibit the best performance are turbo codes. A variety of turbo code interleaver designs exist and require less complexity when decoding. The three most popular are: 1) block interleavers; 2) pseudo-random interleavers; and 3) S-random interleavers.
The best performing interleavers are the S-random interleavers. The S-random interleavers exploit the property of not mapping neighbor positions within a certain sequence length, to neighbor positions exhibiting the same length. This makes the sequence length as large as possible. All interleaver designs require a specific set of rules setting forth input sequence size and permutation.
In conjunction with interleaving, FEC coding improves performance for signals that are coherently demodulated. FEC coding adds additional redundancy in the original data sequence. In communication systems that communicate over a spread spectrum air interface, redundancy is already present in the shared spectral transmission channel. A FEC encoder is a finite-state machine that relies upon nodes or states and delay registers. The predetermined transitions between the registers define a path from which a given data input may produce an output. A common way to illustrate the encoding and decoding technique for the convolutionally encoded data is the use of a trellis diagram which is known to those familiar with this art. A trellis diagram is an infinite replication of a state machine diagram and is shown in FIG. 1.
The decoding is typically performed using a maximum likelihood algorithm which relies upon the trellis structure and the path state or metric for each level and each selected node or state. Any code word of a convolutional code corresponds to the symbols along a path in the trellis diagram. At each state and at each level of the trellis an add-compare-select operation is performed to select the best path and state. The trellis is assembled over many received symbols. After a predefined number of symbols have been accumulated, the determination finds the trellis path with the smallest error. The final decision on all bits in the trellis is made via the encoders by forcing the encoder to return to an initial all-zero state. This is achieved by inserting zero tail bits at the end of the finite bit stream after encoding. This process is referred to as “tailing off.”
A process known as “chaining back” is performed starting at the last node, tracing the decision path back from the last decision to the first. This method of decoding determines which symbol was originally sent. The trellis structure introduces redundancy and accumulates past history.
A prior art turbo encoder is shown in FIG. 2. The encoder comprises first and second systematic recursive convolutional code (RCS) encoders coupled in parallel with a turbo code interleaver coupled prior to the second recursive convolutional encoder. The two recursive convolutional codes used in each encoder are known as the constituent codes. The first encoder reorders the input information bits {right arrow over (x)}N in their original order while the second encoder reorders the input bits as permuted by the turbo code interleaver {right arrow over (x)}1N. The input information sequence {right arrow over (x)}N is always transmitted through a channel. In dependence upon the data transmission rate, the outputs from both encoders may be “punctured” before transmission {right arrow over (y)}N. Puncturing is a process where alternate outputs of the lower taps (first and second encoders {right arrow over (p)}1N, {right arrow over (p)}2N) are deleted from the output. This process establishes a code rate.
The turbo code interleaver is a scrambler defined by a permutation of the sequence length with no repetitions. A complete sequence is input into the interleaver and output in a predefined order.
A prior art tailing off process is shown and described in
A prior art turbo code decoder is shown in FIG. 5. On receiving the demodulated soft value signal {right arrow over (y)}N, the soft-decision information for the systematic (information) and parity bits {right arrow over (p)}1N from the first constituent encoder are input to a first constituent decoder. The first constituent decoder generates updated, soft-decision likelihood values {right arrow over (L)}e1 ({right arrow over (x)}N) for the information bits that are input along with the information bits to a decoder interleaver. The input to a second constituent decoder includes the interleaved soft-valued sequences {right arrow over (X)}IN and {right arrow over (L)}Ie1 ({right arrow over (X)}N) and the parity bits {right arrow over (p)}2N from the second constituent encoder. The output of the second decoder improves on the soft-decision likelihood values derived from the output from the first constituent decoder and is fed back to the first constituent decoder after reordering in accordance with the turbo decoder interleaver as an iterative process. The output {right arrow over (x)}e from the second constituent decoder is obtained after the decoding operation is completed.
As discussed above, the use of a turbo code interleaver requires that coding be performed on a finite sequence length. To encode such a finite information sequence, it is necessary for both constituent RSC encoders in the turbo encoder to start and end in an all zero-state with the same trellis bits. Most prior art turbo encoders have their information sequences terminated with a plurality of tail bits. Tail bits are considered a nuisance and as overhead of the turbo encoded sequence.
The difficulties with flushing turbo code encoders and bringing their trellises back to their initial state have long been recognized by the prior art. For example, the article entitled Turbo Code Termination And Interleaver Conditions by Blackert et al., the article entitled Turbo Codes For PSC Applications by Divsalar et al., and the article entitled Terminating The Trellis Of Turbo-Codes In The Same State by Barbulescu et al. recognize the problems inherent in bringing the trellises of multiple encoders back to their initial states. However, none of these prior art solutions provide a suitable method for bringing the trellises of multiple encoders back to their initial state without reduction in the efficiency of the encoder.
Accordingly, there exists a need for a turbo code interleaver that does not require a plurality of tail bits to force each constituent encoder to an all-zero state.
The present invention relates to a turbo code hybrid interleaver having recursive systematic constituent encoders. The system and process encodes a finite frame of bits without requiring a plurality of tail bits to flush the registers of each encoder to an all-zero state. The hybrid interleaver reduces the turbo code overhead by using the same tail bits for both constituent encoders improving the performance of the best turbo interleaver.
Accordingly, it is an object of the present invention to provide a system and method of interleaving that does not require a plurality tail bits to be part of the encoding process.
It is a further object of the invention to eliminate the unnecessary overhead in the turbo code encoding sequence limiting the number of tail bits that terminate the encoding process to an all-zero state with a single m-bit tail where m is the number of storage registers in each constituent encoder.
Other objects and advantages of the system and the method will become apparent to those skilled in the art after reading the detailed description of the preferred embodiment.
A turbo code encoder 17 with a hybrid interleaver 19 taught in accordance with the present invention as shown in
As shown in
1≦I(k)≦N Equation (1)
where k=1, 2, . . . , N for each mapped 33 position 351-N in the interleaver sequence. The current selection, I(k) must meet conditions A (step 59), B (step 63) and C (step 65) as follows.
Condition A:|I(k)−I(k−j)|>S Equation (2)
where
0<j≦S Equation (3)
and
k−j≧0. Equation (4)
Condition A Equation (2) represents the properties of S-random interleavers. S is an arbitrary value.
Condition B: |I(k)−I(k−n·L)|≠j·L Equation (5)
(step 63) where n and j are positive integers subject to:
k−n·L≧0; Equation (6)
and
n·L≦S Equation (7)
(step 61)
L is determined by the constituent encoder used in the turbo code encoder. As an example, L=7 is used in an eight state turbo encoder.
Condition C: k mod 2m−1=I(k)mod 2m−1∀k Equation (9)
(step 65) where m is the size of memory in the constituent encoder. For 4 and 8 state encoders, m equals 2 and 3 respectively. The above steps are repeated until all of the integers, I(k) for k=1, 2, . . . , N, (step 66) for the hybrid interleaver 19 are selected (step 67) and output (step 69).
An example of the above system and method is shown in
The process of the present invention that terminates the trellis using the same tail bits for the first 21 and second 23 constituent encoders is shown and described in
The trellis termination process 81 using the same tail bits for both constituent encoders starts (step 83) with acknowledging that all of the information bits have been encoded by the first 21 and second 23 constituent encoders. At this time in the encoding process, the register contents of both encoders are the same. The first 21 and second 23 encoders switch inputs from the original information 27 and permuted 37 bit streams to feedback 41 from the first 21 encoder. The puncturing of the first 21 encoder output {right arrow over (p)}1N and the second 23 output {right arrow over (p)}2N with the information output {right arrow over (x)}N for the tailing off process is the same as during the encoding 21, 23 of the information bits 27, 37. After both switches 43,45 transition, the first 21 encoder receives tail bits from its own register via the feedback 41 (step 85). The tail bits to the second 23 encoder have not been interleaved by the hybrid interleaver 19 and are the same tail bits 41 for trellis termination as in the first 21 encoder (step 87).
For a M state encoder, log2 M tail bits are required to flush all of the registers in the first 21 and second 23 encoders to an all-zero state. With L=log2 M, Table 1 shows the required number of tail bits and the total number of tail coded symbols for a 4 and 8 state encoder.
For a ½ rate and ⅓ rate turbo code encoder with four (4) state constituent encoders, the present invention 17 eliminates 4 and 6 tail bits, respectively. For a ½ rate and ⅓ rate turbo code encoder with eight (8) state constituent encoders, the present invention 17 eliminates 6 and 9 tail bits, respectively, as compared to and required by the prior art.
The turbo code encoder with the hybrid interleaver yields better performance than prior art S-random interleavers since the rules stated in Condition B avoids worst case low weight distribution of the turbo codes while Condition A retains the best characteristics. Since the hybrid interleaver 19 leads to the same trellis state sequences for both the first 21 and second 23 constituent decoders at the beginning of the tail part, the use of a single m-bit tail sequence to flush both the first 21 and second 23 encoders to an all-zero state is acceptable. The extrinsic information {right arrow over (L)}Ie1 including tail bits generated from the first constituent decoder are passed on to the second constituent decoder which increases to overall performance (see FIG. 5). As an example, if the original information sequence is
{right arrow over (x)}N={1 0 1 1 0 1 0 0 0 1 1 1 0 1 0 1}.
The permuted information sequence according to the hybrid interleaver 19 is
{right arrow over (x)}IN={0 0 0 1 0 1 1 1 1 0 1 0 1}.
The information sequence is encoded by the first 21 and second 23 constituent encoders. The first 21 constituent encoder operates on the input {right arrow over (x)} in its original order, while the second 23 constituent encoder operates on the permuted {right arrow over (x)}I interleaver 19 output.
The trellis state sequence obtained from the first 21 encoder is
{2 3 3 3 1 0 0 0 0 2 1 0 0 2 3 3 1 0}.
The trellis state sequence obtained from the second 23 encoder is
{0 00 2 3 3 3 3 3 1 0 0 2 3 3 3 1 0}.
As shown above, the last two states (four bits) from each trellis state sequence are the same due to the hybrid interleaver 19. This allows the first 21 and the second 23 constituent encoders to receive the same tail bits leading to the reduced overhead of the turbo coding process.
Condition C leads the trellis state of two constituent encoders to be the same after encoding information bits. This allows the same tail bits for both constituent encoders, resulting in the reduction of turbo-code overhead due to tail bits. In addition, using the same tail bits is desirable for an interative decoder as previously explained in which the interleaver design was based on a S-random interleaver. While the present invention improves turbo-code performance, its memory requirement is the same as for the S-random interleaver with the memory storage requirement proportional to the interleaver size.
An alternative embodiment is described in FIG. 12.
Let D denote the information sequence of binary bits with block size N such that:
D={d1, d2, . . . , dN} where dk=±1 Equation (10)
Given a M-state turbo-coder where M is equal to 4 or 8, we can partition the information sequence, D, into p-disjoint subsets, S, where p=M−1 as follows:
where p is set to be 3 and 7 for 4-state and 8-state turbo codes, respectively. The above partition method is similar to the above coset partitioning. The value of p for each state Turbo-code is specified.
Each subset has the block size of └N/p┘ where └N/p┘ denotes the smallest integer value larger than or equal to N/p. Each subset is permuted by the use of any interleaver mapping. Then we combine all the individual subsets in order to obtain the entire interleaver output, denoted as I, as follows:
where Si(k) is the kth interleaved output bit of the subset S1 and S0(k) is the kth interleaved output bit of the subset S0. The above mentioned procedures including partition and combining subsets can be re-illustrated by using a block interleaver with └N/p┘ rows and p columns as follows:
Write
Read
While the present invention has been described in terms of the preferred embodiment, other variations which are in the scope of the invention as outlined in the claims below will be apparent to those skilled in the art.
This application is a continuation of application Ser. No. 09/806,202 now U.S. Pat. No. 6,772,391, filed Mar. 27, 2001 which is a Section 371 National Phase of PCT/US99/24066, filed Oct. 12, 1999 which claims priority from Provisional Application No. 60/112,318, filed Dec. 14, 1998 and Provisional Application No. 60/104,040, filed Oct. 13, 1998.
Number | Name | Date | Kind |
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5703902 | Ziv et al. | Dec 1997 | A |
6772391 | Shin | Aug 2004 | B1 |
20020083395 | Eroz et al. | Jun 2002 | A1 |
Number | Date | Country | |
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20020104054 A1 | Aug 2002 | US |
Number | Date | Country | |
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60112318 | Dec 1998 | US | |
60104040 | Oct 1998 | US |
Number | Date | Country | |
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Parent | 09806202 | US | |
Child | 10075324 | US |