Estimation of chirp radar signals in compound-Gaussian clutter: A cyclostationary approach

Signal detection of known (within a complex scaling) rank one waveforms in non-Gaussian distributed clutter has recently received considerable attenti on.)Ve expand on published solutions to consider the case of rank one wavef orms that have some unknown parameters, i.e., signal amplitude, initial pha se, Doppler shift, and Doppler rate of change. The contribution of this pap er is the derivation and performance analysis of two joint estimators of Do ppler shift and Doppler rate-the chirp parameters-for a signal with fluctua ting random amplitude embedded in correlated compound-Gaussian clutter, One solution is based on the maximum likelihood (ML) principle and the other o ne on target signal second-order cyclostationarity, The hybrid Cramer-Rao l ower bounds (HCRLB's and a large sample closed-form expression for the mean square estimation error (only for the Doppler shift) are also derived. Num erical examples are provided to show the behavior of the proposed estimator under different non-Gaussian clutter scenarios.