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Cycle-slip detection and correction for GPS double difference observations based on Kalman filter

LIU Xing;LI Chuan;SHI Mingwang;QUAN Liao;College of Civil Engineering,Chongqing University;  
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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