Phased Array Lei Daheng False Alarm Detection Performance Study

This paper studies the performances of the power-difference-cumulant (PDC)detector , OSCA power-difference-cumulant(OSCA-PDC) detector and distinguish of clutter edge-Elimination of wild values(DCE-EWV) detector under homogeneous background , multiple target situation and clutter edge situation . We derive the analytic expressions of false alarm probabilities under homogeneous background , multiple target situation and clutter edge situation , and analysis their performances against multiple target and clutter edge, and gain comparison among them . The results show that the anti-multiple-target performance of OSCA-PDC detector is obviously better than that of the PDC detector, At the same time , it preserves the better detection performance in homogeneous background and clutter edge situation ,and the anti-multiple-target and anti-clutter-edge performance of DCE-EWV detector is obviously better than that of the former two detectors , At the same time, it preserves the better detection performance in homogeneous background. This paper presents a new algorithm basing on cyclostationary-higher-order-cumulant for adaptive beamforming and a new algorithm baseing on cyclostationary tow-order-moment for clutter power. The advantages of the beamforming are that it can eliminate the disturbance signal gaussian clutter and noise, and improve noise-signal ratio. The algorithm for clutter power gains the better reliability . At the end, this paper integrates the former two algorithms into adaptive phase array radar detection, and presents a new adaptive phase array radar CFAR detector.