The Research On Target Tracking Algorithms In ECM For Phased Array Radar

The technology of target tracking plays an important role in both military and civilian areas. In modern high-tech part warfare, one of the severe challenges to target tracking is electronic counter measures. Most of the target tracking algorithms is normal ones without consideration of ECM in our research. Phased array radar is a multifucion and multitarget -tracking . It has very important realism significance to study the tracking algorithms for high maneuvering target with phased array radar in ECM.First, three adaptive tracking algorithms based on phased array radar in normal condition are presented. Since a phased array radar can direct the radar beam in any direction without inertia, it can perform adaptive sampling of target trajectories. The technique of adaptive sampling is determining the next revisit time according to the target's motion. Using adaptive sampling can reduce the numbers of update, which leads to save radar energy. Two adaptive sampling algorithms are given: one is based on IMM, and another is based on three Singer models. In addition, a maneuvering target tracking algorithm using adaptive turn rate models are presented.Secondly, the target trajectory recorded by phased array radar in ECM are studied . The ECM includes a standoff jammer (SOJ) broadcasting wideband noise and targets attempting range gate pull off (RGPO). In normal algorithms, the measurements are modeled as the true values plus independent Gaussian errors, which is not according with the ture condition in ECM. Estimates of bearing and elevation and the standard deviations of the measurements ,which are monopulse processing's results in ECM, are given .The measurements of simulation is the basis of processing tracking algorithm.Finally, IMMPDAF for radar management and tracking in ECM is given. IMM estimator combined with PDA technique is suitable for target tracking in ECM. Adaptive sample scheduling are used in IMMPDAF. With a high energy waveform, an increased detection threshold, SOJ can be neutralized. PDAF can neutralize the false measurements of RGPO. During the same period of tracking target, the IMMPDAF can manage radar too, such as adaptively selecting revisit time, detection threshold and radar waveform.