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箭载GPS实时定位滤波算法研究
引用本文:赵树强,许爱华,苏睿,王家松.箭载GPS实时定位滤波算法研究[J].全球定位系统,2011,36(3):9-13,32.
作者姓名:赵树强  许爱华  苏睿  王家松
作者单位:宇航动力学国家重点实验室,陕西西安,710043
摘    要:针对最小二乘在箭载GPS实时弹道参数解算中随机误差较大的不足,将卡尔曼最优估计理论应用于高动态的运载火箭GPS实时定位,设计了一种基于卡尔曼最优估计理论的定位算法,以提高弹道精度和实时定位性能;对算法进行试验,结果表明:与最小二乘法相比,本算法能得到更好的滤波效果,可以有效抑制和减小弹道的随机误差,定位精度有了明显提高,实时性和可靠性进一步增强。为提高火箭GPS数据处理精度提供了一种新的技术途径。

关 键 词:箭载GPS  卡尔曼滤波  最小二乘算法  高动态

Research on Dynamic Filtering Algorithm of On-board GPS Real-time Positioning
ZHAO Shu-qiang ,XU Ai-hua ,SU Rui ,WANG Jia-song.Research on Dynamic Filtering Algorithm of On-board GPS Real-time Positioning[J].Gnss World of China,2011,36(3):9-13,32.
Authors:ZHAO Shu-qiang    XU Ai-hua  SU Rui  WANG Jia-song
Institution:ZHAO Shu-qiang 1,2,XU Ai-hua 1,SU Rui 1,WANG Jia-song 1,2(1.Xi'an Satellite Control Center,Xi'an Shaanxi 710043,China,2.State key laboratory astronautic dynamics,China)
Abstract:To reduce the comparative random error by LS(Least-squares algorithm),a Kalman filtering algorithm is designed in this paper for the real-time kinematic on-board GPS positioning,which can improve effectively the precision and real-time performance of the trajectory.Furthermore,the simulation of the LS and our algorithm are given in this paper.From the analysis and comparison,it can be concluded that our algorithm has better performance than the LS and is feasible for the on-board GPS data procession,with re...
Keywords:On-board GPS  Kalman filtering  least-squares algorithm  high dynamic  
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