Blind Calibration for Acoustic Vector Sensor Arrays

Conference paper (2018)

Authors

K. Nambur Ramamohan Signal Processing Systems - , Microflown Technologies, Arnhem

S.P. Chepuri Signal Processing Systems -

Daniel Fernandez Comesana Microflown Technologies, Arnhem

Graciano Carrillo Pousa Microflown Technologies, Arnhem

G.J.T. Leus Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

DOI: https://doi.org/10.1109/ICASSP.2018.8462035

Direction-of-arrival estimation Acoustic vector sensor Gain estimation Phase estimation Self calibration

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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

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 Cramér-Rao lower bound of the DOA estimates.

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