Efficient Adaptive Optical Processing for Sonar Arrays

Abstract

In this final report we summarize our progress towards developing an innovative algorithm called BEAMTAP (Broadband Efficient Adaptive Method for True-time-delay Array Processing) for adaptive array processing in broadband scenarios. This approach is especially appropriate for optical implementation of sonar array beamforming. The BEAMTAP algorithm only requires two tapped delay lines, rather than one for every array element as required by conventional time-delay-and-sum beamformers. This efficiency provides a huge hardware savings for large arrays. By separating the delay lines from the adaptive weights, this algorithm can be more easily implemented in optical hardware, making it easier to exploit processing and interfacing advantages of optical systems. We discuss an optical beamforming and jammer-nulling system for sonar array beamforming that utilizes photorefractive crystals for the adaptive weights in combination with time-delay-and-integrate (TDI) charge-coupled device (CCD) detector arrays to process the parallel data from optically interrogated arrays of hydrophone sensors. In this report we discuss the operation of BEAMTAP in comparison with LMS time-delay-and-sum array processors and P-vector passive array beamsteering operations, and we demonstrate its operation using numerical simulations.

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Document Details

Document Type
Technical Report
Publication Date
Apr 23, 1999
Accession Number
ADA362538

Entities

People

  • Kelvin Wagner
  • Lloyd Griffiths
  • Shawn Kraut

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Beam Forming
  • Beam Steering
  • Charge Coupled Devices
  • Computer Simulations
  • Delay Lines
  • Detectors
  • Digital Signal Processing
  • Hydrophones
  • Optical Detectors
  • Optical Processing
  • Pattern Recognition
  • Signal Processing
  • Simulations
  • Sonar Arrays
  • Steering

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Phased Array Antenna Design.