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基于Kalman滤波的动力学模型误差估计算法
引用本文:高为广,张晓东.基于Kalman滤波的动力学模型误差估计算法[J].测绘科学,2011,36(2):56-58.
作者姓名:高为广  张晓东
作者单位:信息工程大学测绘学院;北京跟踪与通信技术研究所;西安测绘研究所;
基金项目:国家自然科学基金(40604003); “863”项目(2007AA12Z331)
摘    要:本文分析介绍了模型误差对滤波解和预报残差影响的表达式.随后,针对GPS/INS松组合导航系统观测信息无冗余的情况,给出了基于Kalman滤波的动力学模型误差估计算法.最后利用一个车载实测数据证明了算法的有效性.

关 键 词:GPS/INS松组合导航  模型误差  Kalman滤波

An algorithm based on Kalman filtering for estimating kinematic model errors
GAO Wei-guang,ZHANG Xiao-dong.An algorithm based on Kalman filtering for estimating kinematic model errors[J].Science of Surveying and Mapping,2011,36(2):56-58.
Authors:GAO Wei-guang  ZHANG Xiao-dong
Institution:③(①Institute of Surveying and Mapping,University of Information Engineering,Zhengzhou 450052,China;②Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China;③Xi’an Research Institute of Surveying and Mapping,Xi’an 710054,China)
Abstract:Firstly,the influences of the dynamical model errors on navigation results and the predicted residuals were analyzed and introduced in the paper.Then,a new algorithm based on Kalman filtering for estimating kinematic model errors was put forward.Finally,a practical example was given.The results proved that the new algorithm was valid and reliable when applied in loosely-coupled GPS/INS integrated navigation system.
Keywords:loosely-coupled GPS/INS integrated navigation  model errors  Kalman filtering  
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