Resolution Enhanced MUSIC-like DOA Estimation Algorithm without Estimating the Number of Sources

被引：0
|
作者：
Zhang Ying [1 ]
Zhao Huapeng [2 ]
机构：
[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China
[2] Inst High Performance Comp Si, Dept Elect & Photon, Singapore 138632, Singapore
来源：
2012 IEEE ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP) | 2012年
基金：
中国国家自然科学基金;
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：
In this paper, we propose a new DOA estimation algorithm which achieves better resolution than the MUSIC algorithm and does not require estimation of the number of sources. Snapshots and steering vector used in the new algorithm are proposed to be constructed in the form of a second-order Volterra filter. To avoid estimation of the number of sources, we introduce a new optimization problem to realize DOA estimation in the framework of beamforming. Computer simulations are conducted to demonstrate validity and superiority of the proposed algorithm.
引用
收藏
页码：289 / +
页数：2
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