GRIDLESS SPARSE METHODS BASED ON FOURTH-ORDER CUMULANT FOR DOA ESTIMATION

被引：0
|
作者：
Zhang, Yuying [1 ,2 ]
Zhang, Gong [1 ,2 ]
Leung, Henry [3 ]
机构：
[1] Minist Educ, Key Lab Radar Imaging & Microware Photon, 29 Jiangjun Ave, Nanjing 211106, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, 29 Jiangjun Ave, Nanjing 211106, Peoples R China
[3] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
来源：
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年
基金：
中国国家自然科学基金;
关键词：
DOA estimation; atomic norm; gridless SPICE; fourth-order cumulant;
D O I：
10.1109/igarss.2019.8900504
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
This paper is concerned with continuous direction-of-arrival (DOA) estimation, and focused on developing gridless sparse methods to colored noise environment. We propose a two-stage gridless model based on noise suppression and sparse representation. Then the atomic norm minimization method is applied to recover the fourth-order cumulant matrix. We further extend the gridless SPICE method to the reconstruction of fourth-order cumulant matrix. The unknown DOAs are retrieved from the recovered matrix and the source number can be obtained as a byproduct. Numerical simulations lastly validate the computational efficiency of the proposed algorithms.
引用
收藏
页码：3416 / 3419
页数：4
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