渐消记忆自适应滤波在传递对准中的应用  

Application of Fading Memory Adaptive Filter in Transfering Alignment

作　　者：屈新芬[1] 李世玲[1] 曾超[1] 肖龙远[1] 

机构地区：[1]中国工程物理研究院电子工程研究所,四川绵阳621900

出　　处：《探测与控制学报》2014年第5期43-46,共4页Journal of Detection & Control

基　　金：国家联合基金项目资助(U1330133)

摘　　要：针对模型存在误差或状态突变下传递对准精度误差较大甚至发散等问题,提出了基于渐消记忆自适应卡尔曼滤波的传递对准方法,以设计的"速度+积分角速度"匹配模式为例进行仿真分析。仿真结果表明:基于渐消记忆自适应卡尔曼滤波的方法同经典卡尔曼滤波算法相比提高了传递对准的精度和收敛速度,是解决模型存在较大误差或状态突变下的传递对准问题的一种有效方法。When conventional Kalman filter was applied to system model in transfer alignment,system state es-timation accuracy was not high even divergent when model error existed or status mutated.A fading memory a-daptive fliter algorithm was introduced in this paper.To ensure the accuracy of In-motion tansfer aligment in strapdown inertial system,a suboptimal filtering approach was constituted by introducing the fading memory factor in order to suppress the volatilization of system.And the ＂velocity and integral angular rate＂ matching mode which could restrain the effect of flexure deformation was designed.The simulation results showed that this method had better performance than conventional Kalman filter in the alignment accuracy and speed,it was a valid application method in transfer alignment.

关 键 词：捷联惯性导航系统 渐消记忆自适应滤波 卡尔曼滤波 传递对准 速度积分角速度 

分 类 号：U666.1[交通运输工程—船舶及航道工程]