A Bi-parametric Clutter-map CFAR Detection Method in Non-Gaussian Environment for Foreign Objects Debris on Runways

摘要

Time-varying land clutter is primary interference for Foreign Objects Debris (FOD) detection on airport runways. Traditional clutter-map CFAR (CM-CFAR) algorithms were ineffective to detect targets in non-Gaussian clutter. In this paper, a Bi-parametric CM-CFAR (Bi-CM-CFAR) algorithm based on bi-parameters estimation is proposed. Clutter-level estimation is obtained with video integrator, parameters estimator and recursive filter; and updated in each scanning period. Moreover, simulations verify effectiveness of this method for FOD detection.