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Because of agile beam capability, Multifunctional phased array radar (MFPAR)can perform not only search and track targets but also test and verify targets. Therefore an effective scheduling tactics is required so that the time and energy resources can be effectively allocated to optimize the overall performance of MFPAR. Analyzing the design principle of adaptive scheduling algorithm for MFPAR, this paper presents specific indexes to evaluate performance. Aiming at MFPAR, this paper uses improved genetic algorithm as adaptive scheduling algorithm. The algorithm can reasonably schedule radar tasks in the scheduling interval on the basis of their priority, dwelling length, comprehensive efficiency and the time constraint of scheduling interval. The validity of scheduling algorithm is proved by the results of simulation. Index Terms - phased array radar, genetic algorithm, scheduling interval, comprehensive efficiency

Research on Adaptive Scheduling Algorithm Based on Improved Genetic Algorithm for Multifunctional Phased Array Radar