一种改进的α-β滤波算法

An improved α-β filter algorithm

针对传统α-β滤波算法不够有效跟踪机动目标的问题,详细分析了其内在原因,提出一种改进的α-β滤波算法。该算法不需要假定目标的机动模型,而是将目标的机动加速度作为滤波状态直接估计出来,将估计加速度作为输入控制量引入到传统α-β滤波器的状态估计方程中进行机动目标的跟踪。然后将它与传统α-β滤波算法进行比较,证明了新的算法不仅具有传统算法计算量小的优点,而且还可以对机动目标进行实时跟踪。仿真结果表明,新算法在综合性能上明显优于传统算法。

In order to solve the problem that the traditional α-β filtering algorithms are not effective for maneuvering target tracking, a detailed analysis of their underlying causes is made, and then an improvement of α-β filter algorithm is proposed in the paper. The algorithm is not necessary to assume the model of target maneuvering, and the mobile acceleration of the target can be estimated as part of the filter state. The acceleration as input control is introduced to the α-β filter state estimation e- quation for the maneuvering target tracking. Compared with the original algorithm, the new algorithm has the advantages of less calculation and real time maneuvering target tracking. The simulation results show that the new algorithm in the compre- hensive performance is much better than the original algorithm.