Multitone sensor gain calibration in an uncertain underwater environment

I. Avital, J. Tabrikian, H. Messer

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Array processing techniques for source detection and localization in an underwater acoustic environment are highly sensitive to both environmental modeling errors, such as sound propagation conditions, and sensor gain mismatch. Sonar arrays, which are normally rigorously calibrated before placement, may develop gain mismatch due to mechanical failures or local environmental variations, such as sediment build-up. In order to avoid performance degradation of detection and localization algorithms, a sensor gain calibration process can be carried out periodically. This paper proposes a maximum likelihood algorithm for sensor gain calibration in a shallow water environment. In the presence of environmental uncertainties, a robust algorithm is required, and such an algorithm is consequentially developed. The proposed method is based on the simultaneous estimation of the relative gains and the acoustic transfer function. To improve the accuracy of the sensor gain estimation, a-priori knowledge of the relationship between the sensor gains at different frequencies is exploited. The performance of the proposed calibration method is evaluated via simulations.

Original languageEnglish
Title of host publicationProceedings of the 2000 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000
PublisherIEEE Computer Society
Pages107-111
Number of pages5
ISBN (Electronic)0780363396
DOIs
StatePublished - 1 Jan 2000
EventIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000 - Cambridge, United States
Duration: 16 Mar 200017 Mar 2000

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2000-January
ISSN (Electronic)2151-870X

Conference

ConferenceIEEE Sensor Array and Multichannel Signal Processing Workshop, SAME 2000
Country/TerritoryUnited States
CityCambridge
Period16/03/0017/03/00

Keywords

  • Acoustic propagation
  • Acoustic sensors
  • Acoustic signal detection
  • Array signal processing
  • Calibration
  • Frequency estimation
  • Mechanical sensors
  • Sensor arrays
  • Underwater acoustics
  • Underwater tracking

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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