粒子滤波在机动目标自适应参数辨识算法中的应用

Application of particle filter in adaptive character identification algorithm

针对目前机动目标跟踪算法无法有效跟踪反舰导弹末段机动的问题,提出一种引入粒子滤波算法的参数辨识模型。通过仿真分析目标作匀速圆周运动情况下该算法的跟踪性能。结果表明,该算法可有效提高跟踪收敛速度和精度,具有一定工程实际意义。

Aiming at the problem of the current maneuvering target tracking algorithm cannot tracking the anti-ship missile terminal maneuvering efficiently,a character identification model adopted particle filter is putted out in this paper. A simulation about the new algorithm performance under the condition of uniform circular motion is given, the results show that this algorithm can improve the convergence precision and convergence velocity, which has some practical significance in project.