Abstract:

Optimal binary detection strategy for rangeextended targets is presented in the background of K-distribution sea clutter. A K-distribution model is used to characterize the sea clutter from low grazing angle, a Rayleigh stochastic model is adopted to describe the amplitude distribution of rangeextended targets. The performance of binary detector for various range lengths of targets and the shape parameters of clutter are analyzed. Finally, the usual principles and experiential formula of optimal parameters choice are deduced, thus giving a direction for the application of the binary detector. The result of Mote Carlo test proves the efficiency of the optimal binary detection strategy.