Spatial Smoothing PAST Algorithm for DOA Tracking Using Difference Coarray

被引：30
|
作者：
Zheng, Zhi [1 ]
Huang, Yixiao [1 ]
Wang, Wen-Qin [1 ]
So, Hing Cheung [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Informat & Commun Engn, Chengdu 611731, Sichuan, Peoples R China
[2] City Univ Hong Kong, Dept Elect Engn, Kowloon, Hong Kong, Peoples R China
来源：
IEEE SIGNAL PROCESSING LETTERS | 2019年 / 26卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Signal processing algorithms; Direction-of-arrival estimation; Radar tracking; Heuristic algorithms; Signal to noise ratio; Sensor arrays; Smoothing methods; DOA tracking; subspace tracking; difference coarray; PAST; SS-PAST; ARRAY;
D O I：
10.1109/LSP.2019.2942146
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 letter, we devise a subspace updating algorithm for tracking directions-of-arrival (DOAs) using the difference coarray of a sparse array. Our solution is based on the projection approximation subspace tracking (PAST) framework, where we design new cost function and iterative process via spatial smoothing of the difference coarray output signal. Since the proposed spatial smoothing PAST (SS-PAST) algorithm exploits the aperture of the difference coarray, it attains higher DOA tracking accuracy than the conventional PAST method operating in a uniform linear array. Simulation results demonstrate the effectiveness of the SS-PAST algorithm.
引用
收藏
页码：1623 / 1627
页数：5
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