A robust adaptive threshold detector

Recent research in radar detection theory has shown a clear progression from optimal detectors in Rayleigh clutter to those designed for long-tailed nonGaussian clutter types, such as the Weibull, Lognormal, and K. The authors first introduce the generalized gamma (G Gamma ) distribution as a clutter model which encompasses most of these known clutter types. Then after motivating the G Gamma from a compound clutter viewpoint, they suggest an adaptive threshold detector structure which implements the joint maximum likelihood (ML) estimator of the G Gamma parameters. Finally, they present small sample simulation results of the detection performance.<
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