Joint generalized antenna combination and symbol detection based on minimum bit error rate: A particle swarm optimization approach

被引:0
|
作者
Lu, Hoang-Yang [1 ]
Fang, Wen-Hsien [2 ]
Huang, Kyar-Chan [2 ]
机构
[1] Huafan Univ, Dept Elect Engn, Taipei, Taiwan
[2] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei, Taiwan
关键词
generalized antenna combination; particle swarm optimization; minimum bit error rate; MIMO;
D O I
10.1093/ietcom/e91-b.9.3009
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
This letter proposes a novel scheme of joint antenna combination and symbol detection in multi-input multi-output (MIMO) systems, which simultaneously determines the antenna combination coefficients to lower the RF chins and designs the minimum bit error rate (MBER) detector to mitigate the interference. The joint decision statistic, however, is highly nonlinear and the particle swarru optimization (PSO) algorithm is employed to reduce the computational overhead. Simulations show that the new approach yields satisfactory performance with reduced computational overhead compared with previous works.
引用
收藏
页码:3009 / 3012
页数:4
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