Doubly constrained robust Capon beamformer

被引:303
作者
Li, J [1 ]
Stoica, P
Wang, ZS
机构
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
[2] Uppsala Univ, Dept Syst & Control, SE-75105 Uppsala, Sweden
基金
美国国家科学基金会;
关键词
adaptive arrays; array errors; diagonal loading; doubly restrained robust capon beamforming; robust adaptive beamforming; robust capon beamforming; signal power estimation; steering vector uncertainty set;
D O I
10.1109/TSP.2004.831998
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
The standard Capon beamformer (SCB) is known to have better resolution and much better interference rejection capability than the standard data-independent beamformer when the array steering vector is accurately known. However, the major problem of the SCB is that it lacks robustness in the presence of array steering vector errors. In this paper, we will first provide a complete analysis of a norm constrained Capon beamforming (NCCB) approach, which uses a norm constraint on the weight vector to improve the robustness against array steering vector errors and noise. Our analysis of NCCB is thorough and sheds more light on the choice of the norm constraint than what was commonly known. We also provide a natural extension of the SCB, which has been obtained via covariance matrix fitting, to the case of uncertain steering vectors by enforcing a double constraint on the array steering vector, viz. a constant norm constraint and a spherical uncertainty set constraint, which we refer to as the doubly constrained robust Capon beamformer (DCRCB). NCCB and DCRCB can both be efficiently computed at a comparable cost with that of the SCB. Performance comparisons of NCCB, DCRCB, and several other adaptive beamformers via a number of numerical examples are also presented.
引用
收藏
页码:2407 / 2423
页数:17
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