Detection in sea clutter by artificial diversity based on statistical dithering

Abstract

The complex total signal (TS) comprising clutter, noise and targets' signal (TaS) is multiplied by a complex random variable to decorrelate TaS during the time on target. Then, an artificial clutter-like signal, the dithering signal (DS), is added to the resultant TS. The detectability factor (DF) of the modified TaS is calculated under these conditions. For sea and land clutters, respectively, an equivalent K-distribution (K-Dist) and Weibull distribution (W-Dist) pdfs are tail fitted to the pdf of the modified total interference (TI) using Monte Carlo (MC) simulations. It is observed that considerable diversity gain (DivG) and dithering gain (DitG) for the DF can be obtained by this procedure. Slowly fluctuating Swerling (SW) and Weinstock (WS) targets are considered.