Robust STAP detection in a dense signal airborne radar environment (original) (raw)

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 ÿlter (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 e cient 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. ?