Parametric Adaptive Matched Filter and its Modified Version

Abstract

The parametric adaptive matched filter (PAMF) for space-time adaptive processing (STAP) has been an interesting research area in the airborne radar data processing community over the last decade. Starting from providing a complete formulation of PAMF, this report assesses the performance of PAMF using simulated data as well as real airborne data collected by the Multi-channel Airborne Radar Measurements (MCARM) system with use of results from the conventional STAP as a benchmark. A modified PAMF approach using both forward and backward predictions is proposed to eliminate the dimensionality loss of the method. Finally the operational counts and computational savings of PAMF are also estimated.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2006
Accession Number
ADA462747

Entities

People

  • Yunhan Dong

Organizations

  • Defence Science and Technology Group

Tags

Communities of Interest

  • Electronic Warfare
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Detection
  • Detectors
  • Dimensionality Reduction
  • Electrical Engineering
  • Electronic Warfare
  • Equations
  • Matched Filters
  • Phased Arrays
  • Radar
  • Signal Processing
  • Simulations
  • Statistics
  • Target Detection
  • Warfare
  • Warning Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computational Modeling and Simulation
  • Radar Systems Engineering.

Technology Areas

  • Space
  • Space - Space Objects