Accession Number:

ADA445693

Title:

An Overview of Space-Time Adaptive Processing for Radar

Descriptive Note:

Corporate Author:

AIR FORCE RESEARCH LAB HANSCOM AFB MA

Personal Author(s):

Report Date:

2003-09-05

Pagination or Media Count:

7.0

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.

Subject Categories:

  • Active and Passive Radar Detection and Equipment
  • Radiofrequency Wave Propagation
  • Radio Communications

Distribution Statement:

APPROVED FOR PUBLIC RELEASE