BLIND CALIBRATION FOR ACOUSTIC VECTOR SENSOR ARRAYS

被引：0

作者：

Ramamohan, Krishnaprasad Nambur ^{[1
,2
]}

Chepuri, Sundeep Prabhakar ^{[1
]}

Comesana, Daniel Fernandez ^{[2
]}

Pousa, Graciano Carrillo ^{[2
]}

Leus, Geert ^{[1
]}

机构：

[1] Delft Univ Technol, Delft, Netherlands

[2] Microflown Technol, NL-6824 BV Arnhem, Netherlands

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) | 2018年

关键词：

Acoustic vector sensor; direction-of-arrival estimation; gain estimation; phase estimation; self calibration; PERFORMANCE;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we present a calibration algorithm for acoustic vector sensors arranged in a uniform linear array configuration. To do so, we do not use a calibrator source, instead we leverage the Toeplitz blocks present in the data covariance matrix. We develop linear estimators for estimating sensor gains and phases. Further, we discuss the differences of the presented blind calibration approach for acoustic vector sensor arrays in comparison with the approach for acoustic pressure sensor arrays. In order to validate the proposed blind calibration algorithm, simulation results for direction-of-arrival (DOA) estimation with an uncalibrated and calibrated uniform linear array based on minimum variance distortion less response and multiple signal classification algorithms are presented. The calibration performance is analyzed using the Cramer-Rao lower bound of the DOA estimates.

引用

页码：3544 / 3548

页数：5

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