Reduced Complexity Maximum-Likelihood Detection for MIMO-OFDM Systems

被引：0

作者：

You, Weizhi ^{[1
]}

Yi, Lilin ^{[1
]}

Hu, Weisheng ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, State Key Lab Adv Opt Commun Syst & Networks, Shanghai 200240, Peoples R China

来源：

2012 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING (WICOM) | 2012年

关键词：

MIMO-OFDM; QR-decomposition; QR algorithm; ML algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A reduced complexity Maximum-Likelihood (ML) detection algorithm is proposed for the multiple-input multiple-output orthogonal frequency division multiple (MIMO-OFDM) systems. The proposed detection algorithm combines the ML algorithm and the QR algorithm. In the detection process, the first T signals are detected by the ML algorithm and the last Nt-T signals are detected by QR algorithm where T is a parameter and Nt is the number of transmitter antennas. From the simulation results, compared with the traditional ML algorithm, the computational complexity of the proposed algorithm with 4 transmitter antennas, 4 receiver antennas and T=3 is reduced by 95% at the expense of about 1.3dB signal-to-noise-ratio (SNR) degradation for bit error rate (BER) at 10(-3). Therefore, the proposed detection algorithm can be used in the practical MIMO-OFDM systems requiring very low complexity.

引用

页数：3