多传感器多模型多尺度组合导航系统算法  

Multi-Sensor Integrated Navigation System Algorithm Based on Multi-Model and Multi-Scale

作　　者：林雪原[1] 郭丽龙[1] 王捷[1] 

机构地区：[1]海军航空工程学院电子信息工程系,山东烟台264000

出　　处：《海军航空工程学院学报》2013年第2期101-106,共6页Journal of Naval Aeronautical and Astronautical University

基　　金：国家自然科学基金资助项目(60874112);"泰山学者"建设工程专项经费资助项目

摘　　要：多传感器组合导航系统是组合导航发展的方向之一。针对复杂环境,多模型自适应算法可以较好地解决模型及参数不确定的问题;而多尺度融合算法将基于模型的动态系统分析与具有统计特性的多尺度信号变换方法相结合,可有效提高系统的滤波精度。为此,文章将多模型估计与多尺度滤波算法相结合构成多模型多尺度滤波算法,该算法用于多组合导航系统后,经仿真验证,相对于多模型或单模型多尺度滤波算法,系统的滤波精度明显提高。The muhi-sensor integrated navigation system is one of the developing directions of integrated navigation. Aiming at the complex environment, the multi-model adaptive algorithm can solve the problem of model and parameter uncertainty, and the multi-scale fusion algorithm which combines the dynamic sysLem analysis method based on model with muhi-scale signal transformation method having statistical characteristics can effec- tively increase system＇s filtering precision. Thus, in this paper, multi-model estimation was combined with multi- scale filtering method to form multi-model and multi-scale filtering method. After this method was used to multi-sensor integrated navigation system, the simulated results showed that this method could increase system filtering precision more than multi-model algorithm and single-model multi-scale filtering method.

关 键 词：多传感器组合导航 交互式多模型滤波器 多尺度滤波算法 融合算法 

分 类 号：V249.32[航空宇航科学与技术—飞行器设计] U666.1[交通运输工程—船舶及航道工程]