以高铁沉降监测为应用背景,研究了一种强跟踪自适应卡尔曼滤波算法,并将其与其他几种卡尔曼滤波算法进行仿真对比。结果表明,滤波算法具有较高的精度和较强的跟踪能力。
Under the background of subsidence monitoring of High-speed railway,a strong tracking adaptive kalman filtering algorithm is discussed.The simulation results of the algorithm are compared with the simulation results of other kinds of kalman filtering algorithm.The contrast result indicate that this filtering algorithm has high precision and strong tracking capacity.