Estimation and detection of chirp signals in compound-Gaussian clutter

The contribution of this paper is the derivation of a GLRT (generalized likelihood ratio test) detector and a suboptimal cyclic-correlation-based estimator of Doppler shift and Doppler rate, the chirp parameters, for a signal with fluctuating random amplitude embedded in correlated compound-Gaussian clutter. The hybrid Cramer-Rao lower bounds (HCRLBs) are also derived for a Swerling I target signal. Simulation examples are provided to show the behavior of the proposed estimator under different non-Gaussian scenarios.

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