中文摘要：

针对目标跟踪系统的非线性问题，将集合预报思想和卡尔曼滤波技术相结合，提出了基于集合卡尔曼滤波的非线性目标跟踪算法，讨论了初始集合的不同选择对跟踪性能带来的影响，实现了与其它常用非线性跟踪算法间的比较。利用到达角和多普勒频率测量数据实现非线性系统中目标跟踪，验证了算法的有效性和可行性。仿真结果表明集合卡尔曼滤波技术能够应用到非线性目标跟踪系统中，并且计算复杂度较低，具有很好的跟踪性能。

英文摘要：

For the problem of nonlinearity in target tracking system, a nonlinear target tracking algorithm based on ensemble Kalman filter （EnKF） was proposed, which combines the advantages of ensemble forecasted thought and Kalman filter, and the affection of different initial ensembles on target tracking performance was discussed, then com- parison with other nonlinear tracking algorithms was executed. The algorithm used the measurements of direction - of - arrival and Doppler frequency＂ to estimate the target state, and the feasibility and validity of algorithm were veri- fied. The simulation shows that＇ the proposed algorithm can be applied to nonlinear .taiget tracking system and offer much advantages in terms of estimation performance with lower computation.