Adaptive thresholding on nonhomogeneity detection for STAP applications
Christopher M. Teixeira - Information Systems Laboratories, Inc., Christopher M. Teixeira - Information Systems Laboratories, Inc., Jameson S. Bergin - Information Systems Laboratories, Inc., Paul M. Techau - Information Systems Laboratories, Inc.
Wed, 28 April 2004, 9:30 AM - 10:20 AM
An adaptive thresholding algorithm is presented that can be used in conjunction with the multi-pass generalized inner product (GIP)-based editing method to eliminate non-homogeneities from the training data used for STAP applications, such as adaptive radars. The algorithm exploits a property of the generic structure of the ordered GIP statistic, along with a single user-specified parameter related to the Type I error of incorrectly excising target-free training data, to adaptively determine the thresholds for excising target-contaminated training data. The performance of the method is demonstrated using both high-fidelity site-specific simulated data with both ideal and realistic waveforms as well as measured data from the Multi-Channel Airborne Radar Measurement (MCARM) experiment.