Theory and Design of a Highly Compressed Dropped-Channel Polarimetric Synthetic Aperture Radar

Abstract

Compressed sensing (CS) is a recent mathematical technique that leverages the sparsity in certain sets of data to solve an underdetermined system and recover a full set of data from a sub-Nyquist set of measurements of the data. Given the size and sparsity of the data, radar has been a natural choice to apply compressed sensing to, typically in the fast-time and slow-time domains. Polarimetric synthetic aperture radar (PolSAR) generates a particularly large amount of data for a given scene.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2022
Accession Number
AD1177667

Entities

People

  • John T Becker

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Compressed Sensing
  • Cross Polarization
  • Dielectric Permittivity
  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Image Processing
  • Information Theory
  • Measurement
  • Processing Equipment
  • Radar
  • Signal Processing
  • Synthetic Aperture Radar
  • Two Dimensional
  • United States
  • United States Government

Readers

  • Image Processing and Computer Vision.
  • Operations Research
  • Radar Systems Engineering.