A comparison of two non-homogeneity detection methods for space-time adaptive processing

The paper undertakes a comparison of two non-homogeneity detection (NHD) methods and addresses their impact on the performance of the adaptive matched filter (AMF) method and the normalized adaptive matched filter (NAME) method in severely non-homogeneous clutter scenarios. Performance analysis is carried out using simulated data as well as measured data from the US Air Force Research Laboratory's MCARM (multi-channel airborne radar measurement) program. Specific consideration is given to the computational cost of the NHD method and the sample support requirements. The paper presents a technique for speeding up the computations in the NHD. Performance is reported in terms of the probability of detection versus signal-to-noise ratio (SNR) for simulated data analyses.