Radar detection in K-distributed clutter plus noise using L-statistics

Detection in long-tailed clutter is a challenging problem. Recently, the Generalized Likelihood Ratio Test (GLRT) in K-distributed clutter plus noise has been addressed. It has been shown that the minimum order-statistic detector works well to sort non-fluctuating point targets from clutter. We extend this work to show that, at little additional computational cost, linear combining of sorted values, L-statistics, can provide some additional performance gains, depending on the Clutter-to-Noise Ratio. Results are given primarily through Monte Carlo simulation.