Adaptive beam pointing control of a phased array radar in the presence of ECM and false alarms using IMMPDAF

In this paper, the use of the interacting multiple model (IMM) estimation algorithm combined with the probabilistic data association filter (PDAF) for adaptive beam pointing control of a phased array radar to track maneuvering targets in the presence of false alarms and electronic counter measures (ECM) is presented. The tracking algorithm includes target track formation and maintenance using IMMPDAF, jammer tracking using an IMM estimator and the adaptive selection of sampling period. Simulation results show the usefulness of using IMMPDAF, in terms of radar energy, average track loss, average dwells and noise reduction.