机载雷达辅助无源传感器对杂波环境下机动目标跟踪

机载雷达辅助无源传感器对目标协同跟踪具有重要战术作用，而当前相关算法模型较为简单。为了贴近工程实际，提出一种机载雷达辅助无源传感器对杂波环境下机动目标的跟踪算法。该算法考虑了地球曲率和载机时变姿态等因素的影响，基于地心地固(ECEF)坐标系，联合交互多模型(IMM)和概率数据关联(PDAF)方法，以综合预测协方差的迹为控制变量来管理机载雷达的开关机。仿真结果表明，通过选择合适的控制门限，在节约辐射能量、提升生存能力的同时算法的跟踪性能并无明显下降，从而表明了所提出算法的有效性。

Tracking maneuvering target in clutter with passive sensor aided by airborne radar

There is significant tactical value for cooperatively tracking a target with a passive sensor aided by airborne radar, and the models of some exist algorithms are relatively simple. In order to close to practice, an algorithm is proposed for tracking a maneuvering target in clutter by using a passive sensor aided by airborne radar. Based on ECEF(earth-centered earth-fixed) coordinates where the practice factors such as the curvature of earth and the platform attitude are accounted for, the algorithm combines IMM(interacting multiple model) and PDAF(probabilistic data association filter), and the trace of overall predictive covariance from the output of IMMPDAF is treated as control variable to manage radar opening/closing mode. The simulation results show that radiation energy savings and improved survivability are obtained while tracking performance degradation is not obvious by choosing suitable control threshold, and the proposed algorithm is effective.