Low Complexity DOA Estimation for Wideband Signals

被引：0
|
作者：
Wang, Jin [1 ]
Zhao, Yongjun [1 ]
Wang, Zhigang [1 ]
机构：
[1] Zhengzhou Informat Engn Inst, Zhengzhou, Peoples R China
来源：
2008 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2 | 2008年
关键词：
D O I：
暂无
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：
Weighted subspace fitting (WSF) method has superior performance. compared to other subspace-based techniques in broadband signal location, but it is a heavy computational task An adaptive Particle Swarm Optimization algorithm (PSO) is proposed to solve nonlinear global optimization problem of WSF. The multi-stage Weiner filter is applied to construct the aim function for complexity reduction. Since DOA is estimated without eigen-decomposition and multidimensional search is done in an intelligent way, significant reduction in complexity is achieved. Simulation results demonstrate the effectiveness of the proposed methods.
引用
收藏
页码：1027 / 1030
页数：4
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