一种面向EBPSK卫星被动雷达的改进多源PHD算法

Improved multi-souce PHD algorithm for EBPSK satellite passive radar

为提高对海杂波干扰下空中目标的跟踪性能,讨论了海面-目标二次反射模型,分析了EBPSK调制方式的卫星被动雷达系统特点,在此基础上开展多目标跟踪研究.由于经典的概率假设密度(PHD)滤波不适用于海杂波空间分布不均匀的卫星EBPSK信号多目标跟踪,提出了面向卫星被动雷达系统的多源改进算法.该算法首先对各卫星信息使用经典PHD滤波进行预测和更新,然后在修整步骤进行多卫星信息融合.仿真结果表明:该改进算法能够适应被动卫星EBPSK信号的特性,避免海杂波造成的虚假目标,目标数估计优于经典的PHD滤波算法,具有工程应用前景.

To improve target tracking performance with sea clutter, the sea-target double reflection model is discussed, and the EBPSK （extended binary phase shift keying） modulation satellite pas- sive radar system is analyzed. Based on the system, multi target tracking is studied. Since classical probability hypothesis density （PHD） filtering is not suitable for satellite EBPSK signal in multi tar- get tracking with uniformly distributed clutter, an improved algorithm is proposed. Classical PHD filtering prediction and updating step is used for each satellite data, and then at the trim calculation step, multi-satellite information fusion is used. The simulation results prove that the proposed algo- rithm is suitable for the passive satellite EBPSK signal. False target is avoided, and target number estimation performance is superior to the classical PHD filtering algorithm. The proposed algorithm has the prospect of engineering application.