Experimental Research of Wideband Robust Capon Beamforming based on Focusing Transform for Circular Array

被引：0

作者：

Liu, Yue ^{[1
]}

Cheng, Le ^{[2
]}

Zhang, BingBing ^{[1
]}

Hu, Zhengliang ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Meteorol & Oceanol, Changsha, Peoples R China

[2] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu, Peoples R China

来源：

2024 9TH INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING, ICSIP | 2024年

基金：

中国国家自然科学基金;

关键词：

Circular array; focusing transform; robust Capon beamforming; wideband beamforming; COVARIANCE-MATRIX RECONSTRUCTION; STEERING VECTOR; PERFORMANCE; MISMATCH; POWER;

D O I：

10.1109/ICSIP61881.2024.10671551

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The circular array is widely used for wideband acoustic source localization due to its 360 degrees isotropic azimuthal response. Adaptive beamformer may degrade significantly in practical scenarios because of array steering vector (ASV) mismatches and snapshot deficiency. In this study, the wideband robust Capon beamforming (WBRCB) approach combined the robust Capon beamforming (RCB) with focusing transform is presented. It is found that the WBRCB converges in a shorter time due to the higher statistical degree of freedom of the focusing cross-spectral density matrix. Meanwhile, WBRCB has a lower computational complexity. Experimental results show the effectiveness of the presented beamforming approach on circular array.

引用

页码：114 / 120

页数：7

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