Efficient FFT method for modelling performance of radars with scan-to-scan feedback integration

Abstract

In discrete-event simulation (DES) involving radar systems, one is concerned with tracking the evolution of detection probability as explicitly simulated successive scans elapse. The survival-function based FFT technique discussed here constitutes an improvement over a previously developed approach, that provides speed and efficiency in maintaining and updating the detection state, and likewise for extracting the detection probability from the state after any scan over the target. It is shown to be particularly useful for modelling high-resolution airborne maritime surveillance radars that employ a combination of range stretching and autoregressive scan-to-scan integration.