On the Design of SAR Apertures using the Cramer-Rao Bound

Abstract

In this paper, the Cramer-Rao inequality is applied to the likelihood function of the synthetic aperture radar (SAR) scatterer parameter vector to relate the choice of flight path to estimation performance. Estimation error bounds for the scatterer parameter vector (including height) are developed for multi-dimensional synthetic apertures. These bounds quantify the performance enhancement over a limited sector of the image plane relative to standard-aperture single-pass SAR missions. An efficient means for the design and analysis of SAR waveforms and flight paths is proposed using simulated scattering models that are limited in size. Comparison of the error bounds to those for standard-aperture SAR show that estimates of scatterer range and cross-range positions are accurate for multi-dimensional aperture SAR, even with the additional estimator for height. Furthermore, multi-dimensional SAR is shown to address the layover problem.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA469563

Entities

People

  • David Brady
  • John K. Schindler
  • Leonid Perlovsky
  • Muralidhar (Murali) Rangaswamy
  • Robert Linnehan

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Computer Programs
  • Estimators
  • Flight
  • Flight Paths
  • Frequency
  • Radar
  • Scattering
  • Simulations
  • Standards
  • Supervised Machine Learning
  • Synthetic Aperture Radar
  • Three Dimensional
  • Two Dimensional
  • Unmanned Aerial Vehicles

Fields of Study

  • Engineering

Readers

  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Image Processing and Computer Vision.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects