An Overview of Space-Time Adaptive Processing for Radar

Abstract

This paper provides a survey of space-time adaptive processing for radar target detection. Specifically, early work on adaptive array processing from the point of view of maximum signal-to-noise-ratio and minimum mean squared error perspectives are briefly reviewed for motivation. The sample matrix inversion method of Reed, Mallet and Brennan is discussed with attention devoted to its convergence properties. Variants of this approach such as the Kelly GLRT, adaptive matched filter and ACE tests are considered. Extensions to handle the case of non- Gaussian clutter statistics are presented. Current challenges of limited training data support, computational cost, and severely heterogeneous clutter backgrounds are outlined. Implementation and performance issues pertaining to reduced rank and model-based parametric approaches are presented.

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Document Details

Document Type
Technical Report
Publication Date
Sep 05, 2003
Accession Number
ADA445693

Entities

People

  • Muralidhar (Murali) Rangaswamy

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Antenna Arrays
  • Computational Complexity
  • Covariance
  • Detection
  • Detectors
  • Digital Signal Processing
  • False Alarms
  • Filters
  • Information Operations
  • Matched Filters
  • Signal Processing
  • Statistical Analysis
  • Statistics
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Phased Array Antenna Design.
  • Radar Systems Engineering.
  • Statistical inference.

Technology Areas

  • Space
  • Space - Space Objects