A novel design of a cognitive radar (CR) hybridized with a phased array radar (PAR) having a low probability of intercept (LPI)\ntransmit beam forming is proposed. PAR directed high gain property reveals its position to interceptors. Hence, the PAR high gain\nscanned beam patterns, over the entire surveillance region, are spoiled to get the series of low gain basis patterns. For unaffected\narray detection performance, these basis patterns are linearly combined to synthesize the high gain beam pattern in the desired\ndirection using the set of weight. Genetic algorithm (GA) based evolutionary computing technique finds these weights offline and\nstores to memory. The emerging CR technology, having distinct properties (i.e., information feedback, memory, and processing\nat receiver and transmitter), is hybridized with PAR having LPI property. The proposed radar receiver estimates the interceptor\nrange and the direction of arrival (DOA), using the extended Kalman filter (EKF) and the GA, respectively, and sends as feedback\nto transmitter. Selector block in transmitter gets appropriate weights from memory to synthesize the high gain beam pattern in\naccordance with the interceptor range and the direction. Simulations and the results validate the ability of the proposed radar.
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