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卡尔曼滤波技术在潜艇组合导航中的应用研究
引用本文:杨彦涛,孥妃磊.卡尔曼滤波技术在潜艇组合导航中的应用研究[J].船电技术,2012,32(4):24-26.
作者姓名:杨彦涛  孥妃磊
作者单位:1. 海军驻武汉四六一厂军事代表室,武汉,430085
2. 海军驻九江地区军事代表室,九江,332007
摘    要:高精度的导航定位是潜艇研究中所面临的主要难题之一。采用GPS辅助的INS/DVL组合导航是目前潜艇的主流导航模式。当前实现GPS/INS/DVL组合导航的技术主要有航迹推算和卡尔曼滤波。本文将卡尔曼滤波技术应用于潜艇组合导航,并把EKF与传统的DR方法进行了仿真比较研究。结果表明,EKF的估计精度较高。

关 键 词:组合导航  卡尔曼滤波  仿真

Application of Kalman Filtering Technology on Integrated Navigation System
Yang Yantao,Li Guanglei.Application of Kalman Filtering Technology on Integrated Navigation System[J].Marine Electric & Electronic Technology,2012,32(4):24-26.
Authors:Yang Yantao  Li Guanglei
Institution:Yang Yantao,Li Guanglei(1.Naval Representatives Office in No.461 Factary,Wuhan 430085,China;2.Naval Representatives Office in Jiujiang Area,Jiujiang 332007,Jiangxi,China)
Abstract:High-precision navigation and positioning is one of the main challenges of the submarine research.INS /DVL integrated navigation of using GPS-aided is the current mainstream in submarine navigation mode.It mainly includes dead reckoning and Kalman filtering that realize GPS/INS/DVL integrated navigation technology.In this article,the Kalman filtering technique is applied to submarine navigation,and EKF is compared with the traditional DR method on the simulation.The result indicates that the estimate precision of EKF is higher.
Keywords:integrated navigation  Kalman filtering  simulation
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