ROBUST SPARSE SPECTRAL FITTING IN ELEMENT AND BEAM SPACES FOR DIRECTIONS-OF-ARRIVAL AND POWER ESTIMATION

被引:0
|
作者
Shi, Wentao [1 ]
Zheng, Jimeng [2 ]
Kaveh, Mostafa [2 ]
Huang, Jianguo [1 ]
机构
[1] Northwestern Polytech Univ, Coll Marine, Xian 710072, Peoples R China
[2] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
基金
中国国家自然科学基金;
关键词
Direction Of Arrival (DOA); sparsity; robust; beam-space; ADAPTIVE LASSO; REGRESSION;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In this paper, we propose a robust sparse spectrum fitting method (RSpSF) for Directions-Of-Arrival (DOA) and power estimation in the presence of general form of modeling errors in the array manifold matrix. By exploiting the group sparsity between the power spectrum and the modeling errors, RSpSF formulates the estimator as a convex optimization program. Then, in order to reduce its computational complexity, we apply a beam-space technique to RSpSF and obtain another convex estimator, the beam-space RSpSF (BMRSpSF). Simulation examples are presented to demonstrate the robustness of the proposed methods to off-grid DOAs and to random array calibration errors.
引用
收藏
页码:2705 / 2708
页数:4
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