"Quasi-Blind" Calibration of an Array of Acoustic Vector-Sensors That Are Subject to Gain Errors/Mis-Location/Mis-Orientation

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-blin...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 62; H. 9; S. 2330 - 2344
Hauptverfasser:	Yang Song, Wong, Kainam Thomas, Fangjiong Chen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.05.2014 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Acoustic interferometry acoustical signal processing Acoustics Algorithms Applied sciences array signal processing Arrays Calibration Computational efficiency Computer simulation Detection, estimation, filtering, equalization, prediction direction of arrival estimation Effectiveness Exact sciences and technology Gain Information, signal and communications theory Manifolds Miscellaneous Narrowband phased arrays Signal and communications theory Signal processing Signal processing algorithms Signal, noise sonar arrays sonar signal processing Telecommunications and information theory underwater acoustic arrays Vectors Direction-of-arrival estimation Array signal processing Acoustic interferometry Signal estimation Radiolocalisation Sonar signal processing Velocity distribution Phased array antenna Learning phased arrays direction of arrival estimation Localization Antenna array acoustical signal processing Interferometry Monte Carlo method Speed Acoustic measurement Sonar Measurement sensor Calibration Algorithm underwater acoustic arrays sonar arrays Arrival angle Signal processing Numerical simulation Acoustic sensor Maximum likelihood Underwater acoustics
ISSN:	1053-587X, 1941-0476
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Zusammenfassung:	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.
Bibliographie:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23
ISSN:	1053-587X 1941-0476
DOI:	10.1109/TSP.2014.2307837