Performance of STAP tests in Gaussian and compound-Gaussian clutter

The performance of a recently proposed model-based space-time adaptive proc essing detection method is considered here and compared with several candid ate algorithms. Specifically, we consider signal detection in additive dist urbance consisting of compound-Gaussian clutter plus Gaussian thermal white noise. Consideration is given to both detection and constant false alarm r ate robustness with respect to clutter texture power variations. Finally, t he performance of the new test is assessed using small training data suppor t size. (C) 2000 Academic Press.