| 卡尔曼滤波算法的GPS双差观测值周跳探测与修复 |
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| 引用本文： | 刘星,李川,石明旺,权力奥.卡尔曼滤波算法的GPS双差观测值周跳探测与修复[J].测绘科学,2018(1):1-5,19. |
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| 作者姓名： | 刘星 李川 石明旺 权力奥 |
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| 作者单位： | 重庆大学土木工程学院,重庆,400045 |
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| 摘 要： | 针对非差相位观测值中误差来源较多,对周跳探测不够敏感等问题,双差观测值可大幅削弱相关性较强的误差,较好地探测序列中小的周跳。该文以GPS双差观测序列为研究对象,运用卡尔曼滤波算法,建立双差观测序列周跳探测与修复模型。最后通过理论和实验分析,验证了模型的有效性和可靠性。
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| 关 键 词： | GPS 周跳探测 卡尔曼滤波 双差观测值 GPS cycle-slip detection Kalman filter double difference observations |
Cycle-slip detection and correction for GPS double difference observations based on Kalman filter |
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| LIU Xing,LI Chuan,SHI Mingwang,QUAN Liao.Cycle-slip detection and correction for GPS double difference observations based on Kalman filter[J].Science of Surveying and Mapping,2018(1):1-5,19. |
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| Authors: | LIU Xing LI Chuan SHI Mingwang QUAN Liao |
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| Abstract: | Aiming at the problem that there are many errors in the phase observation,and insensitive to the detection of cycle slip,the double difference observation can significantly weaken the relative strong errors,and better detect the small cycle-slips of the sequence.Taking the GPS double differential observation series as the research object,this paper uses the Kalman filter algorithm to establish the cycle-slip detection and correction model of GPS double difference series.Finally,the validity and reliability of the model are verified by theoretical and experimental analysis. |
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