格缩减辅助MIMO检测的非线性量化

doi:10.13190/jbupt.201001.18.218

北京邮电大学学报 ›› 2010, Vol. 33 ›› Issue (1): 18-22.doi: 10.13190/jbupt.201001.18.218

格缩减辅助MIMO检测的非线性量化

孙艳华¹;王浩²;张延华¹

(1. 北京工业大学电子信息与控制工程学院，北京 100124； 2. 普天信息技术研究院有限公司，北京 100080)

收稿日期:2009-05-04 修回日期:2009-11-18 出版日期:2010-02-28 发布日期:2010-02-28
通讯作者: 王浩

Non-Linear Quantization for Lattice Reduction Aided MIMO Detection

SUN Yan-hua¹;WANG Hao²;ZHANG Yan-hua¹

(1.School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China; 2.Potevio Institute of Technology Company Limited, Beijing 100080, China)

Received:2009-05-04 Revised:2009-11-18 Online:2010-02-28 Published:2010-02-28

摘要/Abstract

摘要：

针对格缩减辅助(LRA)多入多出(MIMO)检测中，采用格缩减技术后导致星座畸变、引起变换域信号非线性联合量化复杂度高的问题，提出了一种排序反馈的非线性量化算法. 该算法同时考虑了变换星座的边界和各元素间的相关性，且根据量化误差的大小选择信号量化判决的顺序，依次量化判决信号的各元素. 仿真证明，基于该算法的格缩减辅助MIMO检测性能优于无排序反馈量化和逐元素独立量化的格缩减辅助MIMO检测，且能很好地逼近最大似然检测的性能；在平坦块衰落信道下，计算复杂度为多项式复杂度.

关键词: 多入多出, 格缩减, 检测算法, 非线性量化

Abstract:

Aiming at the high complexity of non-linear combined quantization caused by constellation biased distribution in lattice reduction aided(LRA) multiple input multiple output (MIMO) detection, a sorted feedback non-linear quantization scheme is proposed. It considers the border of transformed constellation and the correlations between elements, meanwhile, the element is selected to be quantized according to the value of the quantization errors. Simulation shows that the performance of LRA MIMO detection based on this quantization scheme is superior to the performance of LRA MIMO detection based on non-sorted feedback and independent element quantization. Furthermore, the LRA MIMO detection based on the proposed scheme can approach the performance of maximum likelihood detection in polynomial complexity in a flat fading channel.

Key words: multiple input multiple output, lattice reduction, detection algorithm, non-linear quantization

孙艳华1 ;王浩2 ;张延华1. 格缩减辅助MIMO检测的非线性量化[J]. 北京邮电大学学报, 2010, 33(1): 18-22.

SUN Yan-hua¹;WANG Hao²;ZHANG Yan-hua¹. Non-Linear Quantization for Lattice Reduction Aided MIMO Detection[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2010, 33(1): 18-22.

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格缩减辅助MIMO检测的非线性量化

Non-Linear Quantization for Lattice Reduction Aided MIMO Detection

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