Design of ring convolutional trellis codes for MAP decoding of MPEG-4 images

We propose a trellis-coded modulation system using continuous-phase frequency-shift keying (CPFSK) and ring convolutional codes for transmitting the bits generated by an embedded zerotree wavelet encoder. Improved performance is achieved by using maximum a posteriori decoding of the zerotree symbols, and ring convolutional trellis codes are determined for this decoding method. The CPFSK transmitter is decomposed into a memoryless modulator and a continuous phase encoder over the ring of integers modulo 4; the latter is combined with a polynomial convolutional encoder over the same ring. In the code design process, a search is made of the combined trellis, where the branch metrics are modified to include the source transition matrix. Simulation results of image transmission are provided using the optimized system, including mismatched channel cases.     

Assembled space-time turbo trellis codes

A novel full rate space-time turbo trellis code, referred to as an assembled space-time turbo trellis code (ASTTTC), is presented in this paper. For this scheme, input information binary sequences are first encoded using two parallel concatenated convolutional encoders. The encoder outputs are split into four parallel streams and each of them is modulated by a QPSK modulator. The modulated symbols are assembled by a predefined linear function rather than punctured as in the standard schemes. This results in a lower code rate and a higher coding gain over time-varying fading channels. An extended two-dimensional (2-D) log-MAP (maximum a posteriori probability) decoding algorithm, which simultaneously calculates two a posteriori probabilities (APP), is developed to decode the proposed scheme. Simulation results show that, under the same conditions, the proposed code considerably outperforms the conventional space-time turbo codes over time-varying fading channels.     

Two trellis coding schemes for large free distances

A trellis code encoded by using the encoder of a convolutional code C with a short constraint length followed by an additional processing unit is equivalent to a trellis code with a large constraint-length. In 1993, Hellstern proposed a trellis coding scheme for which the processing unit consists of a delay processor and a signal mapper. With Hellstern's scheme, trellis codes with large free distances can be constructed. In this paper, we propose two trellis coding schemes. For the first scheme, the processing unit is composed of multiple pairs of delay processors and signal mappers. For the second scheme, the processing unit is composed of a convolutional processor and a signal mapper, where a convolutional processor is a rate 1 convolutional code. The trellis code constructed from each of the proposed schemes can be suboptimally decoded by using the trellis of the convolutional code C with some feedback information. Either of the proposed schemes can produce a trellis code that has a larger bound on free distance and better error performance as compared to the trellis code constructed from Hellstern's scheme based on the same convolutional code C     

Space-time code design for CPFSK modulation over frequency-nonselective fading channels

We derive a novel space-time code (STC) design criterion for continuous-phase frequency-shift keying (CPFSK) over frequency-nonselective fading channels. Our derivation is based on a specific matrix that is related to the input symbols of the CPFSK modulators. With this code-design criterion, we propose a simple interleaved space-time encoding scheme for CPFSK modulation over frequency-nonselective correlated fading channels to exploit potential temporal and spatial diversity advantages. Such an encoding scheme consists of a ring convolutional encoder and a spatial encoder, between which a convolutional interleaver is placed. A decoding algorithm that generates symbol metrics for the Viterbi decoder of convolutional codes from the spatial modulation trellis is examined. Simulation results confirm that the advantages of the combination of the interleaved convolutional encoding (for temporal diversity) and the spatial encoding (for spatial diversity) are promising for various system parameters.     

Design and decoding of optimal high-rate convolutional codes

This correspondence deals with the design and decoding of high-rate convolutional codes. After proving that every (n,n-1) convolutional code can be reduced to a structure that concatenates a block encoder associated to the parallel edges with a convolutional encoder defining the trellis section, the results of an exhaustive search for the optimal (n,n-1) convolutional codes is presented through various tables of best high-rate codes. The search is also extended to find the "best" recursive systematic convolutional encoders to be used as component encoders of parallel concatenated "turbo" codes. A decoding algorithm working on the dual code is introduced (in both multiplicative and additive form), by showing that changing in a proper way the representation of the soft information passed between constituent decoders in the iterative decoding process, the soft-input soft-output (SISO) modules of the decoder based on the dual code become equal to those used for the original code. A new technique to terminate the code trellis that significantly reduces the rate loss induced by the addition of terminating bits is described. Finally, an inverse puncturing technique applied to the highest rate "mother" code to yield a sequence of almost optimal codes with decreasing rates is proposed. Simulation results applied to the case of parallel concatenated codes show the significant advantages of the newly found codes in terms of performance and decoding complexity.     

一种实现高性能TCM的卷积编码器结构

本文提出了一种用于网格编码调制(TCM)技术的卷积编码器结构,并在三种不同的信号分配约束条件下对具有最大自由欧几里德距离的TCM码进行了搜索,结果表明:当状态数目较少时,Ungerboeck建议的规则是获得好码的前提条件,当状态增多时,可能存在有其它的信号分配形式达到最好的性能。     

Hamming distance preserving mappings and trellis codes withconstrained binary symbols

The transformation of a linear convolutional code into a run-length-constrained or balanced trellis code with the same or larger free distance is investigated. The transformation involves a Hamming-distance-preserving mapping of the set of unconstrained binary symbols of the convolutional code onto a set of suitably constrained symbols. Simple tests to determine if these mappings can exist and a tree search algorithm for finding such mappings are presented     

Coset codes viewed as terminated convolutional codes

Coset codes are considered as terminated convolutional codes. Based on this approach, three new general results are presented. First, it is shown that the iterative squaring construction can equivalently be defined from a convolutional code whose trellis terminates. This convolutional code determines a simple encoder for the coset code considered, and the state and branch labelings of the associated trellis diagram become straightforward. Also, from the generator matrix of the code in its convolutional code form, much information about the trade-off between the state connectivity and complexity at each section, and the parallel structure of the trellis, is directly available. Based on this generator matrix, it is shown that the parallel branches in the trellis diagram of the convolutional code represent the same coset code C₁ of smaller dimension and shorter length. Utilizing this fact, a two-stage optimum trellis decoding method is devised. The first stage decodes C₁ while the second stage decodes the associated convolutional code, using the branch metrics delivered by stage 1. Finally, a bidirectional decoding of each received block starting at both ends is presented. If about the same number of computations is required, this approach remains very attractive from a practical point of view as it roughly doubles the decoding speed. This fact is particularly interesting whenever the second half of the trellis is the mirror image of the first half, since the same decoder can be implemented for both parts     

Multiple symbol trellis coding of CPFSK

This paper describes a technique related to the design of a trellis encoder, combined with the full response M-ary continuous phase frequency shift keying (CPFSK) with modulation index 1/M. A new representation of CPFSK waveforms in N signaling intervals, is proposed as a function of an (N+1)-D vector. We also decompose the generation of the proposed CPFSK waveform into two stages, an N-consecutive continuous phase encoder (NCPE) and a memoryless modulator (MM). This decomposition makes it possible to design binary convolutional encoders with various code rates, cascaded to the NCPE. Specific optimal outer convolutional encoders of two and three-consecutive full response four-ary CPFSK with modulation index 1/4 are designed following Ungerboeck's (1982) set partitioning approach. These codes achieve asymptotic coding gains up to 4.77 dB for the two consecutive case with code rate 3/4, and asymptotic coding gains up to 5.45 dB for the three-consecutive case with code rate 5/6     

On Minimality of Convolutional Ring Encoders

Convolutional codes are considered with code sequences modeled as semi-infinite Laurent series. It is well known that a convolutional code C over a finite group G has a minimal trellis representation that can be derived from code sequences. It is also well known that, for the case that G is a finite field, any polynomial encoder of C can be algebraically manipulated to yield a minimal polynomial encoder whose controller canonical realization is a minimal trellis. In this paper we seek to extend this result to the finite ring case G = BBZpr by introducing a so-called ldquo p-encoderrdquo. We show how to manipulate a polynomial encoding scheme of a noncatastrophic convolutional code over BBZpr to produce a particular type of p-encoder (ldquominimal p -encoderrdquo) whose controller canonical realization is a minimal trellis with nonlinear features. The minimum number of trellis states is then expressed as p ^gamma, where gamma is the sum of the row degrees of the minimal p -encoder. In particular, we show that any convolutional code over BBZpr admits a delay-free p -encoder which implies the novel result that delay-freeness is not a property of the code but of the encoder, just as in the field case. We conjecture that a similar result holds with respect to catastrophicity, i.e., any catastrophic convolutional code over BBZpr admits a noncatastrophic p-encoder.     

Codes based on a trellis cut-set transformation. I. Rotationallyinvariant codes

Let a trellis section 𝒯 generate a trellis code 𝒞. We study two trellis sections based on 𝒯, a “cut-set” trellis section 𝒯_cs and a “differential encoder” trellis section 𝒯_de. We show that 𝒯 can be transformed to a cut-set trellis section 𝒯_cs, which is equivalent to 𝒯 in the sense that both 𝒯 and 𝒯 _cs generate 𝒞 and both 𝒯 and 𝒯_cs have the same decoding complexity. A differential encoder trellis section is equivalent to the trellis section obtained by following 𝒯 with a differential encoder. It is shown that both 𝒯_cs and 𝒯_de have inverse transform trellis sections. A differential encoder trellis section generates a rotationally invariant (RI) code in a particularly simple and straightforward way. But an RI code need not have a differential encoder trellis section. However, for all of the RI codes examined here, we show that the cut-set trellis section can be arranged into a differential encoder trellis section. This means that these codes can be decomposed into an encoder followed by a differential encoder. Further we show that when 𝒯 is formed using a linear binary convolutional encoder and a mapping by set partitioning, then 𝒯 followed by a differential encoder gives an RI code which in some cases is as good as the best previously known codes, after applying the inverse transform to 𝒯_de     

Space-time convolutional codes over GF(p) for two transmit antennas

We present new space-time trellis codes for two transmit antennas and p-PSK modulations, where p=3. 5. 7.11. 13.17, satisfying the rank and the determinant or the trace criteria. The system utilizes a rate 1/2 convolutional encoder over GF(p), p a prime. Some encoder properties are presented that simplify the code search.     

New TCM codes for 4PSK-2PSK modulation

The authors present some new multi-dimensional (3-D, 4PSK-2PSK) and 180° rotationally invariant trellis codes that combined with the demodulator (which locks onto the 2PSK signal of the 3-D signal set) allows robust operation at low signal to noise ratios. Examples of the codes are presented for 2, 4, 8, 16 and 32 states. The codes achieve a coding gain of 1.76 dB (for two encoder states) to 5.44 dB (for 42 encoder states) compared to uncoded BPSK. Distance profiles of the codes are shown     

A geometric construction procedure for geometrically uniformtrellis codes

The problem of maximizing the minimum free squared Euclidean distance of a trellis code is developed from a geometric point of view. This approach provides a new way of constructing constellations for trellis coding. A decomposition of the trellis topology leads to a systematic construction of signal sets and generators for geometrically uniform trellis codes. An algorithm is proposed to construct geometrically uniform trellis codes, and examples show how to obtain large free distance trellis codes. This approach unifies the construction of convolutional codes over the binary field and trellis codes over the real field     

New multilevel codes over GF(q)

Set partitioning is applied to multidimensional signal spaces over GF(q), i.e., GFⁿ¹(q) (n1⩽q ), and it is shown how to construct both multilevel block codes and multilevel trellis codes over GF(q). Multilevel (n, k, d) block codes over GF(q) with block length n, number of information symbols k, and minimum distance d_min⩾d are presented. These codes use Reed-Solomon codes as component codes. Longer multilevel block codes are also constructed using q-ary block codes with block length longer than q+1 as component codes. Some quaternary multilevel block codes are presented with the same length and number of information symbols as, but larger distance than, the best previously known quaternary one-level block codes. It is proved that if all the component block codes are linear. the multilevel block code is also linear. Low-rate q-ary convolutional codes, word-error-correcting convolutional codes, and binary-to-q-ary convolutional codes can also be used to construct multilevel trellis codes over GF(q) or binary-to-q-ary trellis codes     

Improved coding techniques for preceded partial-response channels

A coset of a convolutional code may be used to generate a zero-run length limited trellis code for a 1-D partial-response channel. The free squared Euclidean distance, d_free², at the channel output is lower bounded by the free Hamming distance of the convolutional code. The lower bound suggests the use of a convolutional code with maximal free Hamming distance, d_max(R,N), for given rate R and number of decoder states N. In this paper we present cosets of convolutional codes that generate trellis codes with d_free ²>d_max(R,N) for rates 1/5⩽R⩽7/9 and (d _free²=d_max(R,N) for R=13/16,29/32,61/64, The tabulated convolutional codes with R⩽7/9 were not optimized for Hamming distance. Instead, a computer search was used to determine cosets of convolutional codes that exploit the memory of the 1-D channel to increase d_free² at the channel output. The search was limited by only considering cosets with certain structural properties. The R⩾13/16 codes were obtained using a new construction technique for convolutional codes with free Hamming distance 4. Newly developed bounds on the maximum zero-run lengths of cosets were used to ensure a short maximum run length at the 1-D channel output     

Simplified trellis decoder

A new simplified trellis decoder (STD) Viterbi-type algorithm is proposed for fast trellis decoding of rate K/K+1 binary convolutional codes. Viterbi algorithm (VA) computation is dominated by add-compare-select (ACS) operations when k⩾2. The STD can substantially reduce the number of ACS operations and allow for a trade-off between the computational load and the performance of the decoder, The STD is analyzed and simulated for a four-dimensional (4-D) rate 4/5 64-state convolutional encoder specified by the ITU-T V.34 modem recommendation     

Coherent detection of interleaved trellis encoded CPFSK on shadowedmobile satellite channels

A receiver that utilizes trellis coded continuous phase frequency shift keying (CPFSK) with coherent detection and convolutional interleaving of the coded symbols for data transmission is presented. An earlier study considered decoding based solely on the code trellis. A new decoding algorithm that copes with the interleaving is presented and uses information from both the modulation trellis and the code trellis. The performance results are obtained by Monte Carlo simulation and are partially verified through analysis. The fading model is Rician, but the line-of-sight (LOS) component is subjected to a log-normal transformation that represents attenuations due to foliage which is referred to as shadowing. The system studied is not suitable for digital speech applications as the required interleaving depths lad to an unacceptable time delay