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一种多频多系统周跳探测与修复方法

A method of multi-frequency multi-system cycle slip detect and repair
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摘要 为满足多频多系统精密单点定位(PPP)数据预处理的实际需求,提出了一种周跳探测与修复方法。针对多频多系统PPP数据处理中各卫星的信号数量不同,利用最小二乘模糊度降相关平差(LAMBDA)原理构建模糊度组合。通过仅使用相位观测值估计的倾斜电子总量(STEC)探测不敏感周跳和漏判周跳。对于周跳修复,将伪距和载波相位的观测值在历元间作差求得周跳的浮点解和协方差阵,然后应用LAMBDA算法搜索周跳整数解并进行修复。通过静态、动态以及磁暴环境下周跳探测和修复实验,验证了所提方法的有效性,多频条件下周跳修复的正确率达到100%。 A cycle slip detection and repair method is proposed to meet the practical requirements of multi-frequency and multi-system precision point positioning(PPP)data preprocessing.Aiming at the different number of signals of each satellite in PPP data processing of multi-frequency multi-system,the least square ambiguity decorrelation adjustment(LAMBDA)principle is used to construct ambiguity combination.Insensitive and missed cycle slips are detected by using only phase observations to estimate slant total electron content(STEC).For the repair of cycle slips,the float solution and covariance matrix of cycle slips are obtained by differencing the observed values of pseudo-range and carrier phase between epochs,and then the LAMBDA algorithm is applied to search for integer solutions of cycle slips and repair them.The effectiveness of the proposed method is verified through cycle slip detection and repair experiments in static,kinematic and magnetic storm environment,and the correct rate of cycle slip repair under multi-frequency condition reaches 100%.
作者 王敏 孟欣 刘长建 孙爽 王超 张展鹏 WANG Min;MENG Xin;LIU Changjian;SUN Shuang;WANG Chao;ZHANG Zhanpeng(Key Laboratory of Smart Earth,Beijing 10080,China;College of Geospatial Information,Information Engineering University,Zhengzhou 450001,China;State Key Laboratory of Geo-Information Engineering,Xi’an 710054,China)
出处 《中国惯性技术学报》 EI CSCD 北大核心 2024年第3期258-265,共8页 Journal of Chinese Inertial Technology
基金 国家自然科学基金项目(42304043) 智慧地球重点实验室基金资助项目(KF2023YB01-11)。
关键词 多频多系统精密单点定位 周跳探测 倾斜电子总量 最小二乘模糊度降相关平差算法 multi-frequency multi-system precise point positioning cycle slip detection slant total electron content least square ambiguity decorrelation adjustment algorithm
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