Underwater Acoustic Imaging: A Computing Hardware Approach to Rapid Processing

Abstract

High-resolution underwater acoustic imaging using multi-element arrays implies a large computational load. For a three-dimensional viewing volume resolved into 3x10(exp 9) voxels (volume pixels), with 4000 elements, the computations needed are around 9x(1.2x10(exp 13)) floating-point operations. This report develops one of the more promising options for computing the full image. First, parallel computation is used to deal with the different sensor elements simultaneously, when calculating the address of the appropriate instantaneous voltage at the sensor element-or, equivalently, the calculation of the round-trip distance traveled by the acoustic pulse. This calculation requires, in a typical near-field situation, the computation either of a square root or of a fifth degree polynomial. This polynomial allows increased parallelism. Second, the summation in the beamforming is likewise done with a high degree of parallelism. A machine with the above design, with 10(exp 9) clock cycles per second, would compute the entire image in roughly 6 seconds. Cost and availability are not investigated.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1997
Accession Number
ADA335304

Entities

People

  • David G. Blair

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Acoustic Waves
  • Acoustics
  • Algorithms
  • Australia
  • Computations
  • Computers
  • Department Of Defense
  • Electrical Engineering
  • Engineering
  • Far Field
  • Near Field
  • Numbers
  • Polynomials
  • Signal Processing
  • Square Roots
  • Three Dimensional
  • Universities

Fields of Study

  • Physics

Readers

  • Computer Programming and Software Development.
  • Image Processing and Computer Vision.
  • Phased Array Antenna Design.