"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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Bibliographic Details
Published in:IEEE transactions on signal processing Vol. 62; no. 9; pp. 2330 - 2344
Main Authors: Yang Song, Wong, Kainam Thomas, Fangjiong Chen
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.05.2014
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
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
Online Access:Get full text
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Summary: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.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2307837