Cramer-Rao bounds for target angle and Doppler estimation for airborne radar in Cauchy interference

We describe new methods on the modeling of the amplitude statistics of airborne radar clutter by means of alpha-stable distributions. We develop target angle and Doppler, maximum likelihood-based estimation techniques from radar measurements retrieved in the presence of impulsive noise modeled as a multivariate isotropic alpha-stable random process. We derive the Cramer-Rao bounds for the additive Cauchy interference scenario to assess the best-case estimation accuracy which can be achieved. The results are of great importance in the study of space-time adaptive processing (STAP) for airborne pulse Doppler radar arrays operating in impulsive interference environments.