Synthetic Aperture Sonar Processing with MMSE Estimation of Image Sample Values

Abstract

MMSE (minimum mean-square error) target sample estimation using non-orthogonal basis functions is applied to objectimaging with SAS/multi-aspect data. Theoretical and simulation results are impressive: Accurate images from echoes atthree aspects, without a significant increase in SNR. The MMSE process creates images with new features that can beapplied to image-based compensation of receiver rotation/location measurement errors. The simulation, however, indicatesthat a weighted sum of current image features is insufficient to reliably compensate for such errors when the gradient of theweighted sum with respect to location/rotation parameters is used in an optimization procedure.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2016
Accession Number
AD1034518

Entities

People

  • Richard A. Altes

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Amplitude
  • Compensation
  • Department Of Defense
  • Information Operations
  • Military Research
  • Multistatic Radar
  • Multistatic Sonar
  • Radar
  • Radar Targets
  • Sonar
  • Sonar Targets
  • Synthetic Aperture Sonar
  • Targets
  • Transmitters

Fields of Study

  • Engineering
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Vision.
  • Radar Systems Engineering.