High Resolution Radar Clutter Analysis and Modeling for Advanced Target Detection Strategies

Abstract

This report results from a contract tasking University of Pisa as follows: The research is divided in two phases. In the first phase, we consider modeling and estimating the characteristic parameters of high resolution non-Gaussian sea clutter. We will investigate specifically nonstationarity and possible non-Gaussianity of the clutter on long period of time, by applying nonhomogeneity tests and spectral analysis to highlight the temporal changes of the clutter process. The analyses of high resolution clutter will be performed by processing complex clutter data collected in November 1993 and in winter 1998 with the high resolution IPIX radar, provided by McMaster University, at a range resolution of 60 m, 30 m, 15 m, 9 m, and 3 m, in like- (HH-VV) and crosspolarizations (HV-VH) An accurate characterization of the high resolution radar clutter allows a more adequate design of the radar detector of targets. This detector needs to be adaptive to the data and should have the ability to comply with the non-homogeneous nature of the clutter interference. This aspect of the problem will be discussed in the second phase of this study. A detailed analysis of the impact of the nonstationarity of the clutter will be performed first analytically (where possible) and by means of simulations; then we will use the real recorded data to feed adaptive detectors, designed for stationary Gaussian and non-Gaussian clutter, and we will compare theoretical and simulated performance with real data performance..

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2007
Accession Number
ADA487102

Entities

People

  • Fulvio Gini
  • Maria S. Greco
  • Muralidhar Rangaswamy

Organizations

  • University of Pisa

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Covariance
  • Data Science
  • Detection
  • Detectors
  • Estimators
  • High Resolution
  • Information Processing
  • Information Science
  • Radar
  • Radar Clutter
  • Random Variables
  • Sea Clutter
  • Signal Processing
  • Simulations
  • Statistical Analysis
  • Statistics
  • Warning Systems

Readers

  • Radar Systems Engineering.
  • Statistical inference.
  • Technical Research and Report Writing.