Extended Order Statistic CFAR Detection For Multiple interfering targets in Log-Normal Clutter

Abstract

This communication examines Constant False Alarm Rate (CFAR) detection in the presence of secondary targets within a log-normal background. The modified Order Statistic (OS) CFAR is derived from a universal test statistic, which is expressed as a function of two different scale-invariant functions. This approach combines the conventional OS-CFAR and Weber-Haykin (WH) CFAR algorithms, resulting in a CFAR detector characterized by three ordered statistics. The CFAR properties and detection performance of the proposed threshold are evaluated against existing CFAR methods in both homogeneous and heterogeneous clutter scenarios. Monte Carlo simulations demonstrate that the proposed WHOS-CFAR detector maintains robustness even in the presence of strong interfering targets.