A suboptimum permutation test for radar detection in log-normal clutter environments

We have used a coherent log-normal model for radar clutter. The in-phase and quadrature components of clutter have been modeled to give a log-normal amplitude distribution and a Gaussian distribution of the phase. We have compared this model with another one in which the distribution of the phase is uniformly distributed. Also, we present detectability curves of the permutation test under log-normal noise environments and different types of target models (nonfluctuating, Swerling I and Swerling II). We analyze the detector performance in terms of detection probability (P/sub d/) versus signal-to-noise ratio (SNR) for different parameter values: the integrated pulse number N, the noise reference samples M, and the false alarm probability (P/sub fa/). Finally, we show computer simulation results for correlated clutter, discussing the meaning of those simulations.