基于模糊自适应α-β滤波的机动目标跟踪

Maneuvering target tracking based on fuzzy adaptive α-β filter

针对机动目标的运动特点,提出了一种基于模糊自适应的α-β滤波新算法。算法首先详细分析了目标航向角和观测残差与目标机动的关系,提出综合利用航向角变化量和残差作为模糊逻辑输入变量来调整滤波器参数,且根据实际的机动目标跟踪情况,给出一种有效的模糊逻辑规则设计方法。实验结果表明,提出的算法能够准确对机动目标进行跟踪,性能要好于工程中常用的α-β滤波器,且算法设计简单,可工程实现。

A new adaptive α-β filter algorithm using fuzzy logic is proposed for maneuvering target tracking. Firstly, the relations between both the course angle and measurement residual error and the maneuverability of targets are analyzed, then the two parameters are used as the input variables of the fuzzy logic, and the fuzzy logic rules are designed by the maneuverability to evaluate the parameters of the α-β filter. The experiment results show the proposed algorithm can accurately track manoeuvrable targets, and its performance is better than the conventional α-β filter. Besides, the proposed algorithm is simple in design and easy to use.