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International Conference on Wireless Communications, Networking and Mobile Computing

The Improvement of TB-MASSEY Trellis Algorithm for Linear Codes

Zhiliang Zhu, Songtao Liang

Published Sep 1, 2011• 0 citations
Publisher

Abstract

The well-known Forney algorithm, Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm and product construction for minimal linear conventional trellises have all successfully extended to tail-biting trellises. As first author of this paper, one of my paper, in a way, popularized Massey construction of minimal linear conventional trellises to tail-biting trellises, just referred as TB-Massey trellises. In this paper, we make some necessary and important optimization and improvement of TB-Massey trellises, mainly via elaborately constricting vertexes of the trellis graph as far as possible. Then display performance of all kinds of the extended tail-biting trellises by comparison. Though having not found the thorough generalized tail-biting Massey trellises, we get some positive progress and results

DOI
10.1109/wicom.2011.6040163

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The well-known Forney algorithm, Bahl-Cocke-Jelinek-Raviv (BCJR) algorithm and product construction for minimal linear conventional trellises have all successfully extended to tail-biting trellises. As first author of this paper, one of my paper, in a way, popularized Massey construction of minimal linear conventional trellises to tail-biting trellises, just referred as TB-Massey trellises. In this paper, we make some necessary and important optimization and improvement of TB-Massey trellises, mainly via elaborately constricting vertexes of the trellis graph as far as possible. Then display performance of all kinds of the extended tail-biting trellises by comparison. Though having not found the thorough generalized tail-biting Massey trellises, we get some positive progress and results
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This paper focuses on dualizing tail-biting trellises, particularly KV-trellises. These trellises are based on characteristic generators, as introduced by Koetter/Vardy (2003), and may be regarded as a natural generalization of minimal conventional trellises, even though they are not necessarily minimal. Two dualization techniques will be investigated: the local dualization, introduced by Forney (2001) for general normal graphs, and a linear algebra based dualization tailored to the specific class of tail-biting BCJR-trellises, introduced by Nori/Shankar (2006). It turns out that, in general, the BCJR-dual is a subtrellis of the local dual, while for KV-trellises these two coincide. Furthermore, making use of both the BCJR-construction and the local dualization, it will be shown that for each complete set of characteristic generators of a code there exists a complete set of characteristic generators of the dual code such that their resulting KV-trellises are dual to each other if paired suitably. This proves a stronger version of a conjecture formulated by Koetter/Vardy.
A 16-state tail-biting trellis for the binary (24,12,8) Golay code C/sub 24/ is exhibited. This tail-biting trellis is minimal. It has many other nice properties, and may be simpler to decode than the minimal conventional trellis for C/sub 24/. Unwrapping this tail-biting trellis produces a periodically-time-varying 16-state rate- 1/2 convolutional code. This "Golay convolutional code" is the first known example of a self-dual doubly-even binary linear convolutional code. It has greater minimum distance than any 16-state time-invariant convolutional code of rate 1/2 . Demonstrably minimal tail-biting trellises are given for several other binary and nonbinary self-dual codes. For some nonbinary codes, tail-biting trellises based on code generators over a group are simpler than any tail-biting trellis based on linear generators over a field.
Tail-biting-trellis representations of codes allow for iterative decoding algorithms, which are limited in effectiveness by the presence of pseudocodewords. We introduce a multivariate weight enumerator that keeps track of these pseudocodewords. This enumerator is invariant under many linear transformations, often enabling us to compute it exactly. The extended binary Golay code has a particularly nice tail-biting-trellis and a famous unsolved question is to determine its minimal AWGN pseudodistance. The new enumerator provides an inroad to this problem.
Generalized low-density parity-check (GLDPC) codes, where the single parity-check (SPC) nodes are replaced by generalized constraint (GC) nodes, are known to offer a reduced gap to capacity when compared with conventional LDPC codes, while also maintaining linear growth of minimum distance. However, for certain classes of practical GLDPC codes, there remains a gap to capacity even when utilizing blockwise decoding algorithm at GC nodes. In this work, we propose to optimize the design of GLDPC codes where the GC nodes are decoded with a trellis-based bit-wise Bahl-Cocke-Jelinek- Raviv (BCJR) component decoding algorithm. We analyze the asymptotic threshold behavior of GLDPC codes and determine the optimal proportion of the GC nodes in the GLDPC Tanner graph.We show significant performance improvements compared to existing designs with the same order of decoding complexity.