Improve the robustness of MVDR beamforming method based on steering vector estimation and sparse constraint

被引：1

作者：

Ibrahim, K. N. ^{[1
]}

Khalil, Elie ^{[1
]}

机构：

[1] Al Baath Univ, Elect & Commun Engn, Hims, Syria

来源：

2019 INTERNATIONAL SYMPOSIUM ON ADVANCED ELECTRICAL AND COMMUNICATION TECHNOLOGIES (ISAECT) | 2019年

关键词：

Beamforming; sparse constraint; steering vector estimation; MVDR; OPTIMIZATION;

D O I：

10.1109/isaect47714.2019.9069701

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Minimum variance distortionless response (MVDR) beamformer has two major drawback, High sidelobe level and direction of arrival (DOA) estimation sensitivity, many approaches was proposed to improve the robustness of the (MVDR) beamformer against array steering vector errors, and to deal with high sidelobe level. In this letter, We will propose a novel algorithm for robust MVDR depend on steering vector estimation and sparse constraint, so it deals with High sidelobe, and array steering vector errors in the same time, and compare its performance in different case of mismatch with other beamformers.

引用

页数：5

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