Reduced Complexity Combined Soft-Decision MLSE Equalization and Decoding

H. Myburgh, L. Linde
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Abstract

A maximum likelihood sequence estimation (MLSE) combined equalizer and decoder with soft-decision decoding performance, that has a computational complexity superior to that of conventional MLSE equalization, is proposed. Its performance is compared to a system containing a soft-output Viterbi MLSE equalizer followed by a soft-decision Viterbi MLSE decoder. It is shown via computer simulation that the proposed algorithm's performance matches that of conventional soft-decision decoding, while eliminating the use of a decoder in the receiver, for frequency-selective Rayleigh fading channels.
降低复杂度结合软判决MLSE均衡和解码
提出了一种具有软判决译码性能的最大似然序列估计(MLSE)均衡器与译码器相结合的算法,该算法的计算复杂度优于传统的MLSE均衡算法。将其性能与包含软输出Viterbi MLSE均衡器和软判决Viterbi MLSE解码器的系统进行了比较。通过计算机仿真表明,对于频率选择性瑞利衰落信道,该算法的性能与传统的软判决解码相当,同时消除了接收机中解码器的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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