'Quasi-Blind' calibration of an array of acoustic vector-sensors that are subject to gain errors/Mis-location/Mis-orientation

Yang Song, Kainam Thomas Wong, Fangjiong Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

13 Citations (Scopus)


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.
Original languageEnglish
Article number6747374
Pages (from-to)2330-2344
Number of pages15
JournalIEEE Transactions on Signal Processing
Issue number9
Publication statusPublished - 1 May 2014


  • Acoustic interferometry
  • acoustical signal processing
  • array signal processing
  • direction of arrival estimation
  • phased arrays
  • sonar arrays
  • sonar signal processing
  • underwater acoustic arrays

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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