Abstract
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.
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