Optimum permutation and rank detectors under K-distributed clutter in radar applications

In this paper, we realize a comparative performance analysis of nonparametric (permutation and rank) detectors against the parametric ones. The optimum permutation and rank tests are proposed for radar detection under K-distributed clutter, having considered an ideal case of independent and identically distributed (IID) clutter samples, and another more realistic case of spherically invariant random process (SIRP) clutter model. The detector performance analysis was realized for nonfluctuating and Swerling II target models by Monte-Carlo simulations, and the results are shown in curves of detection probability versus signal-to-clutter ratio.