格缩减辅助MIMO检测的非线性量化  

Non-Linear Quantization for Lattice Reduction Aided MIMO Detection

作　　者：孙艳华[1] 王浩[2] 张延华[1] 

机构地区：[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

出　　处：《北京邮电大学学报》2010年第1期18-22,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：泛网无线通信教育部重点实验室(北京邮电大学)开放课题项目(2009102);国家高技术研究发展计划项目(863-317-03-06-99);北京市教委资助项目(kp0303200101)

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.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.

关 键 词：多入多出 格缩减 检测算法 非线性量化 

分 类 号：TN911.22[电子电信—通信与信息系统]