修正的交互加速度补偿机动目标跟踪算法

Maneuvering Target Tracking Algorithm Based on Improved Interactive Acceleration Compensation Filter

为了提高交互加速度补偿算法(IAC)的滤波精度,通过引入一个改进因子自适应地调整过程噪声协方差,给出了一种新的算法。在给定的初始条件下,通过蒙特卡罗仿真,将修正的IAC算法与IAC算法进行比较,结果表明修正的交互加速度补偿算法在目标发生机动时具有更好的跟踪性能。

A new algorithm is proposed to improve the accuracy of filtering,which will be modified by introducing adaptive factors to adjust process noise.At the given initial conditions,Monte Carlo simulation experiments were carried and the capability of the two algorithms were analyzed.The simulation results show comparing with IAC algorithm,the modifying IAC algorithm achieve excellent tracking performance for maneuvering target.