A New Generation of Models for Radar Targets

Abstract

We have developed and analyzed a family of both deterministic and stochastic models for synthetic aperture radar targets. The models allow one to linearize the scattering about the target without having to assume that it is weak, account for anisotropy (and separately analyze the anisotropy of the propagation medium), non-flat topography, temporal dispersion, speckle, and texture. We have built algorithms for SAR reconstruction that include the differential Faraday rotation and distinguish between the instantaneous and delayed targets. We have provided a comprehensive quantitative analysis of SAR interferometry. The original objectives of the project have been met. The results have been published in scholarly Journals and presented and the various national and international Conferences.

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Document Details

Document Type
Technical Report
Publication Date
Jun 17, 2021
Accession Number
AD1140358

Entities

People

  • Semyon Tsynkov

Organizations

  • North Carolina State University

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Applied Mathematics
  • Bandwidth
  • Complex Variables
  • Computational Science
  • Detection
  • Diffraction
  • Digital Images
  • Earth Sciences
  • Electrical Engineering
  • Electromagnetic Scattering
  • Frequency
  • Frequency Bands
  • Image Processing
  • Linear Polarization
  • Machine Learning
  • Mathematics
  • Measurement
  • Neural Networks
  • Polarization
  • Radar
  • Radar Imaging
  • Remote Sensing
  • Scattering
  • Scientific Research
  • Signal Processing
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Radar Systems Engineering.
  • Systems Analysis and Design