Abstract:

A joint adaptive scheduling algorithm of beam and waveform is proposed for multi-function array radars. Firstly, the optimal scheduling model is built, which selects the sensor’s work mode and waveform based on the cost of the difference between the desired covariance matrix and the actual one and the sensor resource usage with the waveform selected. Two kinds of measurement criteria, the covariance mean bias and the max covariance bias, are presented for multi-target tracking. The proposed algorithm can schedule radar beam and waveform with an optimal mode and minimize the total system cost. Simulation results show that the algorithm can quickly achieve the desired tracking state and schedule sensor’s work mode and waveform effectively. Finally, the selection of the desired covariance matrix is discussed.