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IEEE TRANSACTIONS ON INFORMATION THEORY 1997年第4期43卷 1319-1326页

作者： Kallel, S Li, KP Department of Electrical Engineering University of British Columbia Vancouver BC Canada

The main drawback of sequential decoding is the variability of its decoding effort which could cause decoding erasures. We propose and analyze in this correspondence an efficient bidirectional sequential decoding (BSD) technique to alleviate this drawback. In the proposed BSD, two decoders are used;one is called a forward decoder (FD), and is used to search the tree from forward direction;while the other is called a backward decoder (ED), and is used for the backward search of the tree. Forward decoding and backward decoding are performed simultaneously, and stop whenever FD and ED merge at a common encoder state somewhere in the tree. The relationships between backward coding and forward coding are examined in detail. Good rate 1/2 convolutional codes, with memory m ranging from 2 to 25, suitable for bidirectional decoding found through extensive computer search, are provided. These codes possess the same distance properties from both forward and backward directions. It is found by means of extensive computer simulations as well as a heuristic argument that the advantage of BSD appears as a substantial decrease of the computational variability of sequential decoding. Our findings suggest that the Pareto exponent of unidirectional sequential decoding (USD) can be practically doubled by using BSD.

关键词： bidirectional decoding computational variability convolutional coding sequential decoding symmetric code

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