Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/12470
Title: Quasi-blind calibration of an array of acoustic vector-sensors that are subject to gain errors/mis-location/mis-orientation
Authors: Song, Y
Wong, KT 
Chen, F 
Keywords: Acoustic interferometry
Acoustical signal processing
Array signal processing
Direction of arrival estimation
Phased arrays
Sonar arrays
Sonar signal processing
Underwater acoustic arrays
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on signal processing, 2014, v. 62, no. 9, p. 2330-2344 How to cite?
Journal: IEEE transactions on signal processing 
Abstract: This paper advances a new “quasi-blind” calibration algorithm to calibrate a multi-array network (MAN) of acoustic-vector-sensors, whose component-sensors may have non-ideal gain/phase responses, incorrect orientations, and imprecise locations. This proposed calibration is “quasi-blind” in not requiring any prior knowledge/estimation of any training signal's arrival-angle. This proposed algorithm is computationally orders-of-magnitude more efficient than maximum-likelihood estimation. These advantages are achieved here by exploiting the acoustic vector-sensor's quintessential characters, to interplay between two complementary approaches of direction-finding: (1) customary interferometry between vector-sensors, and (2) “acoustic particle-velocity-field normalization” DOA-estimation within each individual vector-sensor. Monte Carlo simulations verify the proposed algorithm's efficacy in “quasi-blind” calibration and its aforementioned computational efficacy.
URI: http://hdl.handle.net/10397/12470
ISSN: 1053-587X (print)
1941-0476 (online)
DOI: 10.1109/TSP.2014.2307837
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