An efficient MIMO detection algorithm with the resistance to channel correlation

Journal of Shanghai Normal University (Natural Sciences)

QIU Mengting¹  LUO Hanwen¹  YU Hui¹  ZHAO Pu¹ 

[1] School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University;

关键词: MIMO;    channel correlation;    lattice reduction;    K-Best;   

DOI  :  10.3969/J.ISSN.1000-5137.2016.02.009

来源: DOAJ

【 摘 要 】

MIMO,the core technology of next generation wireless broadband communication,is faced with the contradiction between the system gain benefit by increasing antennas and the detection error due to high channel correlation.Therefore,we propose a new Lattice-Reduction(LR)-assisted K-Best algorithm.Since the children nodes of every parent node are uncertain after LR processing,on-demand expansion scheme is adopted to expand children nodes,and the sorting algorithm based on minimum candidate heap is used to decrease the sorting complexity.Then the average time complexity is decreased from O(KNlog₂(KN)) to O(Klog₂K),and the spatial complexity is decreased from O(KN) to O(K).In order to solve the problem of detection error caused by no longer limited constellation map after LR processing,a boundary control scheme is put forward to improve the detection accuracy.Simulations show that with the aid of boundary control,the BER performance has obtained 3dB gain when channel correlation is high.And the proposed algorithm only lost 1dB gain compared to ML algorithm with much smaller computational complexity,the complexity is only linearly increased with the number of antennas.So this proposed efficient algorithm is suitable for large scale antenna system.

【 授权许可】

Unknown