伯努利滤波在单站无源跟踪中的应用

外辐射源雷达系统具有隐蔽性好、反隐身能力及抗干扰能力强等优点，但其中高频频段信号普遍存在距离分辨率较差的问题。通过建立仅利用目标多普勒信息的测量模型，将基于随机有限集的伯努利滤波算法应用于以多个视距外短波广播发射站、单个近距离接收站为背景的单站无源雷达系统中，同时克服了传统跟踪方法中复杂的数据关联，进而提高了跟踪效果。仿真结果表明，该方法能在大量虚警下仅利用多普勒信息实现对运动目标的有效跟踪和定位。

Application of Bernoulli filter in single-station passive tracking

The passive radar based on external illuminator has many advantages,such as good invisibility,anti-stealth and anti-jamming capability.However,the passive radar systems working in the high-frequency have the bad range resolutions compared with those working in other bands.The proposed system which has the single short-distance receiving station takes advantage of over-the-horizon short-wave radio signals as non-cooperative illuminators.The target can be efficiently tracked with Bernoulli filter algorithm based on random set theory by establishing the Doppler information measurement model which overcomes the complicated data association in the traditional tracking methods.Simulation results show that the method has good tracking performance for target only by using Doppler frequency under a large number of false alarm.