Minimum sensitivity based robust beamforming with eigenspace decomposition

被引：8

作者：

Wang, Jun ^{[1
]}

Zhang, Wei ^{[2
]}

Liu, Wei ^{[3
]}

机构：

[1] Beijing Jiaotong Univ, Sch Elect Informat Engn, Beijing 100044, Peoples R China

[2] Sci & Technol Elect Informat Control Lab, Chengdu 610036, Sichuan, Peoples R China

[3] Univ Sheffield, Dept Elect & Elect Engn, Commun Res Grp, Sheffield S1 3JD, S Yorkshire, England

来源：

MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING | 2018年 / 29卷 / 02期

关键词：

Eigenspace; Robust beamformer; Minimum sensitivity; CAPON BEAMFORMER; MISMATCH; ARRAYS; ERRORS; NUMBER;

D O I：

10.1007/s11045-016-0424-1

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

An enhanced eigenspace-based beamformer (ESB) derived using the minimum sensitivity criterion is proposed with significantly improved robustness against steering vector errors. The sensitivity function is defined as the squared norm of the appropriately scaled weight vector and since the sensitivity function of an array to perturbations becomes very large in the presence of steering vector errors, it can be used to find the best projection for the ESB, irrespective of the distribution of additive noises. As demonstrated by simulation results, the proposed method has a better performance than the classic ESBs and the previously proposed uncertainty set based approach.

引用

页码：687 / 701

页数：15

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