Clonal selection detection algorithm for the V-BLAST system

被引：0
|
作者：
Mu, Caihong [1 ]
Zhu, Mingming [1 ]
机构：
[1] Xidian Univ, Inst Intelligent Informat Proc, Xian 710071, Peoples R China
来源：
ADVANCES IN NATURAL COMPUTATION, PT 2 | 2006年 / 4222卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel detection algorithm for V-BLAST system is proposed, based on the clonal selection theory and the idea of immune evolution. The complexity of the clonal selection detection algorithm for V-BLAST system (CA-VBLAST) is analyzed and the bit error ratio (BER) performance is verified via computer simulations. Simulation results show that the BER performance of CA-VBLAST detector with proper algorithm parameters is comparable with the maximum likelihood (ML) detector which presents the best BER performance but the highest computational complexity, and our CA-VBLAST detector obtains a much more decreased complexity.
引用
收藏
页码：402 / 411
页数：10
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