Robust auto-focusing wedeband Bayesian beamforming

被引：0
|
作者：
Yu, Tao [1 ]
Hansen, John H. L. [1 ]
机构：
[1] Univ Texas Dallas, CRSS, Richardson, TX 75080 USA
来源：
2008 HANDS-FREE SPEECH COMMUNICATION AND MICROPHONE ARRAYS | 2008年
关键词：
Bayesian beamforming; coherent signal-subspace transform; auto-focusing;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
The problem of uncertian direction-of-arrival (DOA) for narrowband souces has been addressed using adaptive Bayesian beamforming[2,3]. In this study, we present a wideband Bayesian beamforming technique based on the coherent signal-subpace transform (CSST). CSST focuses the wideband data onto a single narrowband to allow for a narrowband Bayesian beamformer, which in turn provides the data-driven DOA information needed to update the key part of CSST-the focusing matrix. Numerical simulations with array data show that the proposed beamformer is robust to both DOA mismatch and coherent wideband interfences.
引用
收藏
页码：62 / 65
页数：4
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