基于改进交互式多模型算法的ADS-B航迹滤波方法研究

An ADS-B Track Filtering Method Based on Improved Interactive Multi-model Algorithm

针对广播式自动相关监视(ADS-B)航迹跟踪精度低以及目标跟踪模型与目标运动模型匹配效率低的问题,结合自适应算法对经典交互多模型(IMM)算法的运动模型集进行改进。将经典交互模型(IMM)运动模型集中的匀加速运动(CA)模型,改进为"当前"统计模型(CS)和修正转弯(MCT)模型。利用改进的模型集对目标当前位置、速度和加速度进行滤波估计。并对模型转移概率进行修正,提高IMM算法的自适应能力,实现快速目标跟踪。利用模拟航迹数据及实际设备接收的实测数据对算法进行验证。结果表明:运动模型集改进后的IMM算法滤波结果优于经典IMM算法,跟踪结果稳定,改进的算法可适应复杂的目标航迹实时跟踪。

To solve the problems of low ADS-B trajectory tracking precision and low matching efficiency between the target tracking model and the target motion model,the adaptive algorithm is used to improve the motion model set of the classic IMM algorithm. The uniform accelerated motion( CA) model in the standard IMM motion model set is improved to the "current"statistical( CS) model and the modified turn( MCT)model. The improved model set is used to filter the target’s current position, velocity, and acceleration. The model transition probability is revised, so as to improve the adaptive ability of the IMM algorithm and realize rapid target tracking. The simulated track data and the measured data received by actual equipment are both used to verify the algorithm. The experimental results show that the improved IMM algorithm based on the motion model set has better filtering results than the classic IMM algorithm, and the tracking results are stable, which can adapt to the real-time tracking of complex target tracks.