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Mutual Reference Technique for Array Calibration

  • Lewis Thompson
  • Hua Lee
Part of the Acoustical Imaging book series (ACIM, volume 22)

Abstract

The resolving capability of a sonar system is governed by several key parameters such as aperture size, operating frequency, bandwidth of transmitted pulse, and noise level. The characteristics of the receiving transducers of a multiple-element array are typically assumed to be ideal and identical. In practice, each receiving transducer is unique in terms of functions and responses. Accurate signal detection has become increasingly important as high-performance sonar imaging continues to emphasize resolving capability. As a result, array calibration now plays an important role in data acquisition as well as overall system performance.

In the past, array calibration was performed in a relatively primitive manner by using one of the channels as the reference signal. The error characteristics of the reference channel can propagate through the entire calibration process and result in degradation of overall system performance. In this paper, we present a systematic mutual reference calibration procedure technique for multiple-element sonar arrays. This method provides a simple and systematic calibration procedure with superior accuracy and computational efficiency. The accuracy of the calibration procedure is optimized by a singular value decomposition process and the complex correction vector is constructed from the most significant eigenvector.

The presentation of this paper includes a complete system modeling procedure, theoretical analysis, algorithm implementation, and results from full-scale experiments with a Sonatech SAS-10 sonar array.

Keywords

Singular Value Decomposition Array Element Calibration Technique Reference Channel Sonar System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    G. C. Brown, J. H. McClellan, E. J. Holder, “Eigenstructure approach for array processing calibration with general phase and gain perturbations,” International Conference on Acoustics, Speech and Signal Processing, vol.5:3037–40Google Scholar
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    Z. C. Lin, H. Lee, and G. Wade, “Back-and-forth propagation for diffraction tomography,” IEEE Transactions on Sonics and Ultrasonics, SU-31:626–634, Mar. 1984.ADSGoogle Scholar
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    B. L. Douglas, “A calibration technique for sidescan sonar systems based on the second order statistics of returned signals,” Proceedings of 1992 IEEE Oceans Conference, vol-1:300–305, 1992.Google Scholar

Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Lewis Thompson
    • 1
  • Hua Lee
    • 1
  1. 1.Department of Electrical and Computer EngineeringUniversity of CaliforniaSanta Barbara

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