基于小波滤波的JPDA算法多目标跟踪

JPDA Algorithm for Multi-Target Tracking Based on Wavelet Filter

研究了一种基于地心坐标的多机动目标跟踪算法,将雷达站的坐标通过地球坐标系转换成地心直角坐标系,得到新坐标系下的数据,利用小波滤波的Matlab算法对坐标测量转换的数据进行分解,将分解得到的测量数据用于机动目标的状态更新,利用JPDA算法将三维坐标进行数据关联,分理出多个目标的飞行航迹,并与小波滤波相融合,得到多目标飞行器各自的飞行轨迹.仿真结果表明,该JPDA与小波滤波融合的算法跟踪性能良好,可以将多目标数据分离,且计算量偏小.

This work investigated the multi-target tracking algorithm based on geocentric coordinates.The coordinate radar station is converted into geocentric Cartesian coordinate system through the earth coordinate system,to get the data under the new coordinate system.Matlab algorithm using wavelet filter was employed for coordinate measuring conversion data decomposition and the measurement data obtained by the decomposition of the state was used for maneuvering target update.Using the three-dimensional coordinates of the JPDA algorithm for data association,the flight path of multiple targets was sorted out and each flight path of multi-target aircrafts was obtained by integration with wavelet filtering.Simulation results show that the algorithm tracking performance of JPDA fusion with wavelet filtering is good,multi-target data can be separated and the amount of calculation is small.