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一种基于UKF的MEMS/GPS组合导航算法
引用本文:刘明雍,郭勇,张立川,高沛林.一种基于UKF的MEMS/GPS组合导航算法[J].鱼雷技术,2013(5):351-354.
作者姓名:刘明雍  郭勇  张立川  高沛林
作者单位:[1]西北工业大学航海学院,陕西西安710072 [2]水下信息与控制重点实验室,陕西西安710072
基金项目:国家自然科学基金(51179156);国家自然科学基金青年基金项目(51109179);教育部博士点基金(20106102120057);西北工业大学基础基金(Jc201228).
摘    要:针对微电子机械(MEMS)/全球定位(GPS)组合导航系统中,强非线性引起的扩展卡尔曼滤波(EKF)~-航精度不高、滤波性能不稳定、收敛速度慢等问题,研究了MEMS/GPS组合导航系统无迹卡尔曼滤波(UKF)算法,避免了EKF繁重的求导计算。本文对2种滤波方法进行了仿真比较,结果表明,用UKF的组合导航系统的误差收敛速度比EKF快,精度也比EKF高,UKF算法更适合于MEMS/GPS组合导航。

关 键 词:微电子机械  全球定位组合导航系统  扩展卡尔曼滤波  无迹卡尔曼滤波

UKF-Based Algorithm for MEMS/GPS Integrated Navigation System
LIU Ming-yong,GUO Yong,ZHANG Li-chuan,GAO Pei-lin.UKF-Based Algorithm for MEMS/GPS Integrated Navigation System[J].Torpedo Technology,2013(5):351-354.
Authors:LIU Ming-yong  GUO Yong  ZHANG Li-chuan  GAO Pei-lin
Affiliation:1. College of Marine Engineering, Northwestern Polytechnical University, Xi'an 710072, China; 2. Science and Tech- nology on Underwater Information and Control Laboratory, Xi'an 710072, China)
Abstract:To solve the problems of low navigation accuracy, slow convergence rate and unstable filtering accuracy caused by the strong nonlinearity of the extended Kalman filter(EKF) in micro electro mechanical system/global posi- tioning system(MEMS/GPS) integrated navigation system, an unscented Kalman filter(UKF) is proposed for the MEMS/GPS integrated navigation system. The UKF avoids the heavy derivation in EKF. Simulation results show that the two filtering methods: the error convergence rate of UKF integrated navigation system is faster, the accuracy is higher than the EKF. Comparison between the two algorithms shows that MEMS/GPS integrated navigation system with UKF achieves faster error convergence rate. hi~her navi~,ation accuracv and enhanced navioation narfnrmznt~e
Keywords:micro electro mechanical system/global positioning system integrated navigation system  extended Kalmanfilter  unscented Kalman filter
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