Target detection in Rayleigh-distributed sea clutter environment based on Hough transform

The detection and false alarm probabilities of the Hough transform-based detector for nonfluctuating and four types of Swerling fluctuating targets in the Rayleigh-distributed sea clutter environments are derived in this paper. Simulation scenario and procedure are designed. Then random data obeying Rayleigh distribution is generated as surrogate of the sea clutter. The performance of target detection in surrogate data environment based on Hough transform-based detector is analyzed through Monte Carlo simulation runs. The simulative results show that, for a specified PD which is greater than 0.5, the target model sorted ascending for the required SCR is Swerling II, IV, nonfluctuating, Swerling III, I.