Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering
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Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering
Vol. 32, Issue 5, Pages: 9-13(2011)
作者机构:
1. 中国科学院上海微小卫星工程中心
2. 中国科学院上海微系统与信息技术研究所
作者简介:
基金信息:
DOI:
CLC:TN927.3
Published:2011
稿件说明:
移动端阅览
LI Li-min1, GONG Wen-bin1, LIU Hui-jie1, et al. Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering[J]. 2011, 32(5): 9-13.
DOI:
LI Li-min1, GONG Wen-bin1, LIU Hui-jie1, et al. Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering[J]. 2011, 32(5): 9-13.DOI:
Pseudorange estimation algorithm combining code and carrier phase based on Gaussian sum particle filtering
摘要
针对导航星座中码测量值精度低但无整周模糊度
而载波相位测量值精度高但存在整周模糊度的特点
提出了一种基于高斯和粒子滤波(GSPF)的伪距估计算法
结合了两组测量值各自的优点。理论分析和仿真结果表明
该算法对周跳不敏感且伪距估计精度高。
Abstract
According to the characteristic that code measurements yielded noisy but unambiguous pseudorange estimates and carrier phase measurements were almost noiseless but were affected by integer ambiguity
a novel Gaussian sum particle filter(GSPF) algorithm was proposed to combine the advantages of the two measurements.The theoretical analysis and simulation results show that the proposed algorithm is immune from cycle slips and produces smaller mean square errors.