相控阵雷达波束波形联合自适应调度算法

针对多功能相控阵雷达，提出了一种波束和波形的联合自适应调度算法。首先建立了联合调度的最优化模型，该模型根据当前时刻目标实际协方差与期望值的偏差代价以及所选波形的能量代价，来确定下一时刻相控阵雷达的最佳工作方式。对于多目标跟踪，分别给出协方差偏差均值和最大协方差偏差的两种偏差度量准则。所提出的算法可以依据最佳的调度方式来控制相控阵雷达下一时刻波束的工作模式以及相应的工作波形，使得对所有目标的跟踪偏差代价和资源消耗代价最小化。仿真结果表明本文所提出的算法可以在维持目标期望跟踪状态的条件下，有效地调度雷达的工作模式和波形。最后讨论了期望协方差阵的选取原则。

Joint adaptive scheduling algorithm of beam and waveform for phased array radars

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.