基于“当前”统计模型的模糊自适应滤波算法

Fuzzy Adaptive Filtering Algorithm based on Current Statistical Model

"当前"统计模型需要预先设计目标最大机动加速度和目标机动频率,不能适应各种机动情况。在"当前"统计模型的基础上,提出了一种基于"当前"统计模型的模糊自适应滤波算法。该算法能使目标最大机动加速度和目标机动频率随着机动特性自适应调整,适应各种机动情况。仿真结果表明,该算法的跟踪精度优于传统的基于"当前"统计模型的跟踪算法。

The maximum accelerations and the maneuvering frequency of maneuvering targets must be pre-defined in the method of Current statistical model.So the presented maneuvering acceleration model may be difficult to meet various maneuvering conditions.An adaptive filtering algorithm for maneuvering target based on Current statistical model is presented.This algorithm can adjust the maximum accelerations and the maneuvering frequency of maneuvering targets adaptively along with the characteristic of maneuvering to adapt to different target maneuvers.The simulation results show that the method is better than the conventional tracking algorithm based on Current statistical model in t racking accuracy.