Computational complexity reduction of MLD based on SINR in MIMO spatial multiplexing systems

被引：0
|
作者：
Honjo, K [1 ]
Ohtsuki, T [1 ]
机构：
[1] Tokyo Univ Sci, Dept Elect & Engn, Noda, Chiba 2788510, Japan
来源：
VTC2004-FALL: 2004 IEEE 60TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-7: WIRELESS TECHNOLOGIES FOR GLOBAL SECURITY | 2004年
关键词：
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Recently, MIMO spatial multiplexing systems have attracted a lot of attention because of their high spectral effiencies. In MIMO spatial multiplexing systems Maximum Likelihood Detection (MLD) is known as an optimal method for signal detection in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, we propose two reduced complexity signal detection schemes: one combines the minimum mean square error (MMSE) detection and MLD based on the estimated signal to interference plus noise ratio (SINR). The other combines the ordered successive MMSE detection (OSD) and MLD based on the estimated SINR. We refer to these detection schemes as MMSE-MLD and OSD-MLD, respectively. We show by simulation results that the proposed MMSE-MLD and OSD-MLD can attain almost identical performance to that of MLD with less complexity.
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收藏
页码：1426 / 1430
页数：5
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