Adaptive Factored Beamforming For Vector Sensor Arrays

被引：1

作者：

Lai, Hung ^{[1
]}

Cox, Henry ^{[1
]}

Bell, Kristine ^{[2
]}

机构：

[1] Lockheed Martin, Arlington, VA 76001 USA

[2] George Mason Univ, Fairfax, VA USA

来源：

2008 42ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, VOLS 1-4 | 2008年

关键词：

D O I：

10.1109/ACSSC.2008.5074434

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We consider a new beamspace adaptive beamformer for vector sensor arrays. The sample support and computational requirement for this beamformer is roughly the same as that of a comparable beamspace MVDR beamformer for only the omnidirectional component of the same array. We refer to the new beamformer as "Adaptive Factored Beamformer" or AFBF since it assumes that the weight vector can be written as a Kronecker product of two weight vectors. The performance of this algorithm is evaluated against other adaptive beamformers; using simulated data.

引用

页码：402 / +

页数：2

共 6 条

[1]

COX H, 2008, SIMULTANEOUS G UNPUB

[2]

COX H, 1987, IEEE T ASSP, V35

[3] Vector sensors and vector sensor line arrays: Comments on optimal array gain and detection [J].