Polarization Diversity for Detecting Targets in Inhomogeneous Clutter

Abstract

Polarization diversity has proved to be a useful tool for radar detection, especially when discrimination by Doppler effect is not possible. In this paper, we address the problem of improving the performance of polarimetric detectors for targets in heavy inhomogeneous clutter. First, we develop a polarimetric detection test that is robust to inhomogeneous clutter. We run this polarimetric test against synthetic and real data to assess its performance in comparison with existing polarimetric detectors. Then, we propose a polarimetric waveform-design algorithm to further improve the target-detection performance. A numerical analysis is presented to demonstrate the potential performance improvement that can be achieved with this algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2007
Accession Number
ADA475555

Entities

People

  • Arye Nehorai
  • Martin Hurtado

Organizations

  • University of Washington

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Arrays
  • Clutter
  • Coefficients
  • Data Sets
  • Detection
  • Detectors
  • False Alarms
  • Gaussian Distributions
  • Polarization
  • Probability
  • Radar
  • Scattering
  • Simulations
  • Target Detection
  • Warning Systems
  • Waveforms

Readers

  • Neural Network Machine Learning.
  • Plasma Physics / Magnetohydrodynamics
  • Radar Systems Engineering.