Clutter Spatial Distribution and New Approaches of Parameter Estimation for Weibull and K-Distributions

Abstract

The spatial distribution of surface clutter in general depends on radar resolution, grazing angle and scatterers on the surface. The Weibull, K- and lognormal distributions are commonly used to approximate the clutter spatial distribution. Comparisons among all three distributions are reviewed and extended. Statistical properties of the Weibull and K- distributions in the log domain are derived and then used in new approaches, named as unbiased estimation schemes, for faster parameter estimation for the Weibull and K- distributions. The maximum likelihood estimates for the K-distribution are also derived without the need of the derivative of the Bessel function. The proposed unbiased estimation schemes provide nearly as identical estimates as the maximum likelihood scheme does, according to real aperture radar data and synthetic aperture radar data analysed.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA424271

Entities

People

  • Yunhan Dong

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Electronic Warfare
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Bessel Functions
  • Clutter
  • Data Processing
  • Data Sets
  • Detection
  • Electronic Warfare
  • Frequency
  • Geometry
  • Grazing Angles
  • High Resolution
  • Information Science
  • Radar Signals
  • Sea Clutter
  • Standards
  • Statistics
  • Synthetic Aperture Radar
  • Systems Science

Readers

  • Acoustical Oceanography.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Statistical inference.