组合导航系统几种滤波方法的分析比较及其性能评价

Analysis compare and performance appraisal on filter methods in integrated navigation system

介绍了用于组合导航系统中的几种常用的滤波方法—如传统滤波方法中的集中卡尔曼滤波和联邦卡尔曼滤波、非传统滤波方法中的神经网络滤波,并从理论上分析了传统滤波方法和非传统滤波方法的优点和不足,最后以SINS/GPS组合导航系统为例进行了仿真。仿真结果表明,非传统的滤波算法在某些方面优于传统的滤波算法。

Some filter methods in integrated navigation system were presented,such as the concentrated Kalman filter and the federal Kalman filter in traditional filter methods,and the neural network filter in the nontraditional filter methods.The paper analyzed the advantages and the disadvantages of traditional filter methods and nontraditional filter methods in theory,and made simulations for SINS/GPS integrated navigation system.Simulation results indicate that nontraditional filter algorithm is superior to traditional filter algorithm in some aspect.