基于小波变换的自适应滤波技术在组合导航系统中的应用  

Application of Adaptive Filter Technology Based on Wavelet Transform in Integrated Navigation System

作　　者：刘建娟[1] 徐晓苏[1] 刘锡祥[1] 

机构地区：[1]东南大学仪器科学与工程系,南京210096

出　　处：《中国惯性技术学报》2005年第6期34-38,共5页Journal of Chinese Inertial Technology

基　　金：国家自然科学基金项目(60374046);总装备部国防预研基金项目(514090101035W0609)

摘　　要：针对组合导航系统中在线校正的误差噪声模型具有时变性的特点,使用小波变换对观测量进行预滤波,并使用自适应滤波技术进行在线校正,克服了常规卡尔曼滤波需要精确的误差模型的缺点。仿真结果证明:在系统和量测模型不确定时,文中提出的基于小波变换的自适应滤波能够使系统误差在较短的时间内收敛,并与常规卡尔曼滤波器的精度相当。According to the characteristic of nonlinear time-varying in integrated nawgauon system on-line calibration＇s error model, wavelet transform was used to filter, and adaptive filter was used in on-line calibration. The flaw of the requirement of exact error model in conventional Kalman filter is overcome using this method. The simulation results show that when the model of system or measurement isn＇t exact, this method has high convergence speed and it＇s precision is similar to that of conventional Kalman filter.

关 键 词：组合导航 小波变换 自适应滤波 多分辨分析 

分 类 号：U666.1[交通运输工程—船舶及航道工程]