| 一种基于改进粒子滤波的动态精密单点定位算法 |
| |
| 引用本文： | 聂建亮,杨元喜,吴富梅.一种基于改进粒子滤波的动态精密单点定位算法[J].测绘学报,2010,39(4):338-343. |
| |
| 作者姓名： | 聂建亮 杨元喜 吴富梅 |
| |
| 作者单位： | 国家测绘局,大地测量数据处理中心,陕西,西安,710054;长安大学,地质工程与测绘学院,陕西,西安,710054;西安测绘研究所,陕西,西安,710054;西安测绘研究所,陕西,西安,710054;信息工程大学,测绘学院,河南,郑州450052 |
| |
| 基金项目： | 国家自然科学基金，国家863计划 |
| |
| 摘 要： | 提出一种改进的粒子滤波,试图提高粒子滤波的收敛速度,减弱非线性模型线性化误差和非正态分布随机误差对动态单点定位结果的影响.首先固定单差无电离层模糊度,以减少状态参数向量的维数,提高初始定位的精度和粒子滤波的收敛速度;采用Kalman滤波作为粒子滤波的预滤波,以提高粒子滤波的重点采样效率,并提高采样粒子精度,减缓粒子退化.利用一个实测动态GPS数据验证表明,改进的粒子滤波可以提高动态GPS的定位精度.
|
| 关 键 词： | 精密单点定位 Kalman 滤波 粒子滤波(PF) 非线性模型 高斯分布 |
An Algorithm of Dynamic Precise Point Positioning Based on Modified Particle Filtering |
| |
| NIE Jianliang,YANG Yuanxi,WU Fumei.An Algorithm of Dynamic Precise Point Positioning Based on Modified Particle Filtering[J].Acta Geodaetica et Cartographica Sinica,2010,39(4):338-343. |
| |
| Authors: | NIE Jianliang YANG Yuanxi WU Fumei |
| |
| Institution: | NIE Jianliang1,2,YANG Yuanxi3,WU Fumei3,41.Geodetic Data Processing Center,State Bureau of Surveying and Mapping,Xi'an 710054,China,2.School of Geological and Surveying Engineering,Chang'an University,3.Xi'an Research Institute of Surveying and Mapping,4.Institute of Surveying and Mapping,Information Engineering University,Zhengzhou 450052 |
| |
| Abstract: | A modified particle filtering is proposed.The convergence speed of the particle filtering is tried to be improved.The influences of linearization of nonlinear functional models and the non-Gaussian random errors to the results of dynamic precise point positioning will be weakened.In the new procedure,the free-ionosphere ambiguities are fixed at first to reduce the number of parameters in the state vector.The accuracy of the initial positioning results is improved and the convergence of the particle filterin... |
| |
| Keywords: | precise point positioning Kalman filtering particle filtering nonlinear model Gaussian distribution |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
