IMMPDAF FOR RADAR MANAGEMENT AND TRACKING BENCHMARK WITH ECM

A framework is presented for controlling a phased array radar for trac king highly maneuvering targets in the presence of false alarms (FAs) and electronic countermeasures (ECMs). Algorithms are presented for tr ack formation and maintenance; adaptive selection of target revisit in terval, waveform and detection threshold; and neutralizing techniques for ECM, namely, against a standoff jammer (SOJ) and range gate pull o ff (RGPO), The interacting multiple model (IMM) estimator in combinati on with the probabilistic data association (PDA) technique is used for tracking. A constant false alarm rate (CFAR) approach is used to adap tively select the detection threshold and radar waveform, countering t he effect of jammer-induced false measurements. The revisit interval i s selected adaptively, based on the predicted angular innovation stand ard deviations. This tracker/radar-resource-allocator provides a compl ete solution to the benchmark problem for target tracking and radar co ntrol (presented in the companion paper), Simulation results show an a verage sampling interval of about 2.5 s while maintaining a track loss less than the maximum allowed 4%.