Robust STAP detection in a dense signal airborne radar environment

Authors:
James H. Michels;Braham Himed;Muralidhar Rangaswamy
Affiliations:
Air Force Research Laboratory, AFRL/SNRT, 26 Electronic Parkway, Rome, NY;Air Force Research Laboratory, AFRL/SNRT, 26 Electronic Parkway, Rome, NY;Air Force Research Laboratory, AFRL/SNRT, 26 Electronic Parkway, Rome, NY
Venue:
Signal Processing - Special section: New trends and findings in antenna array processing for radar
Year:
2004

Citing 3
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Abstract

This paper presents the performance of several space-time adaptive processing (STAP) detection methods in a dense signal environment. These include the normalized parametric adaptive matched filter (N-PAMF), the joint domain localized (JDL), and a variant of JDL referred to as the normalized JDL (NJDL). Issues considered here include robust detection with respect to signal contamination of training data and efficient estimation procedures with limited training data. The paper also introduces the innovations power sorting (IPS) pre-processing procedure for representative training data selection. Performance analyses are carried out with measured data from the Multichannel Airborne Radar Measurement (MCARM) program.