基于粒子滤波的被动多基站跟踪算法(英文)

A Novel Passive Tracking Algorithm Using Sensor-Array Based on Particle Filter

针对被动多基站跟踪的实际应用,提出了基于粒子滤波的被动多基站跟踪方法。该方法首先利用两个基站的观测数据融合目标位置,并用第三个基站的观测数据对目标位置进行检验,消除了错误融合位置;然后,推导了被动多基站粒子滤波模型,并根据被动多基站跟踪的特点,提出了顺序重抽样方法,有效地解决了被动多基站跟踪中的高度非线性、非高斯的影响;最后,给出了算法的性能仿真比较。仿真结果表明提出的方法性能明显优于其他跟踪方法(如PMHT、IMM-PDA)。

Aiming at the application of passive tracking based on sensor-array, a new passive tracking using sensor-array based on particle filter was proposed. Firstly, the ＂fake points＂ could be almost entirely and exactly deleted with the aids of the sensor-array at the expense of an additional sensor. Secondly, considered the fact that the measurements gotten from each array were independent in passive tracking system, a novel sequential particle filter using sensor-array with improved distribution was proposed. At last, in a simulation study we compared this approach algorithm with traditional tracking methods. The simulation resuits show that the proposed method can greatly improve the state estimation precision of sensor-array passive tracking system.