Design of low-complexity linear dispersion codes

D. Marathe, A. Tandon
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引用次数: 0

Abstract

We consider the design of space-time codes that offer low decoding complexity. It is well known that for codes based on orthogonal designs, maximum-likelihood (ML) decoding reduces to symbol-by-symbol decoding. However, this simplicity of decoding is achieved at the expense of symbol rate. It is natural to ask if the symbol rate can be increased if the code construction allows ML decoding to reduce to pairwise decoding of symbols. Our work attempts to answer this question by describing a method of designing pairwise decodable codes for any number of transmit antennas based on the linear dispersion (LD) code framework. We then show that for codes designed using this method, ML decoding can be reduced to pairwise decoding of symbols. For the case of M=3 and M=4 transmit antennas, we provide error-performance simulation results for these codes.
低复杂度线性色散码的设计
我们考虑设计解码复杂度低的空时码。众所周知,对于基于正交设计的编码,最大似然解码可以简化为逐个符号解码。然而,这种解码的简单性是以牺牲符号速率为代价的。如果代码结构允许ML解码减少为符号的成对解码,那么很自然地要问符号率是否可以提高。我们的工作试图通过描述一种基于线性色散(LD)代码框架为任意数量的发射天线设计成对可解码代码的方法来回答这个问题。然后我们证明,对于使用这种方法设计的代码,ML解码可以简化为符号的成对解码。对于M=3和M=4发射天线的情况,给出了这些码的误差性能仿真结果。
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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