基于格约简的误差检测方案的MIMO系统近极大似然检测

Dong-jin Lee, Mea-Hwa Park, Y. Byun
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引用次数: 4

摘要

最大似然检测在MIMO系统中表现出最优的性能。然而,它的复杂性通常使它不切实际。为了解决这个问题,提出了各种技术。为了提高MIMO系统的性能,还提出了LRAD (lattice-reduction-aided detection)方法。本文提出了对LRAD估计的符号进行错误符号检测和校正的方法。换句话说,该系统通过LRAD检测第一个符号,并在第一个检测符号中搜索错误项。并通过最优或次最优系统修正误差符号。结果表明,该方法的性能更接近于MLD的性能,但其复杂性比MLD低得多
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Near-Maximum Likelihood Detection of MIMO Systems Using Error Detection Scheme Based Lattice Reduction
MLD (maximum likelihood detection) has shown optimum performance in MIMO systems. However, its complexity generally makes it impractical. To solve this problem, various techniques were proposed. LRAD (lattice-reduction-aided detection) was also proposed to improve the performance of MIMO systems. In this paper, we suggest error symbol detection and correction in symbols estimated by LRAD. In other words, the proposed system detects the first symbols by LRAD and searches error terms in the first detection symbols. And correct the error symbols by optimal or sub-optimal systems. As a result, its performance approaches more nearly to that of MLD which shows optimum performance, but it has much less complexity than MLD
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