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

被引：7
|
作者：
Honjo, K [1 ]
Ohtsuki, T
机构：
[1] Tokyo Univ Sci, Grad Sch Elect Engn, Noda, Chiba 2788510, Japan
[2] Keio Univ, Dept Informat & Comp Sci, Yokohama, Kanagawa 2238522, Japan
来源：
IEICE TRANSACTIONS ON COMMUNICATIONS | 2006年 / E89B卷 / 03期
关键词：
MIMO; MLD; SINR;
D O I：
10.1093/ietcom/e89-b.3.914
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
MIMO spatial multiplexing systems are attracting a lot of attention because of their high spectral effiencies. Maximum Likelihood Detection (MLD) is known to be the optimal signal detection method for MIMO spatial multiplexing systems in terms of bit error rate (BER). However, the main drawback of MLD is its high complexity. In this paper, to reduce the computational complexity of MLD and to attain good BER in MIMO spatial multiplexing systems, we propose the minimum mean square error (MMSE)-MLD that combines MMSE detection and MLD according to the estimated SINR from each transmit antenna. We also propose the ordered successive MMSE detection (OSD)-MLD that combines OSD and MLD according to the estimated SINR from the transmit antennas. Simulation results show that the proposed MMSE-MLD and OSD-MLD can attain almost identical BER to that of MLD but with less complexity.
引用
收藏
页码：914 / 921
页数：8
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