【摘 要】
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In case of obstacle or low signal to noise ratio,the satellite signal will lose lock and occur cycle slips,which will affect the accuracy of navigation and
【机 构】
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College of Information Engineering,Taiyuan University of Technology,Jinzhong,China
论文部分内容阅读
In case of obstacle or low signal to noise ratio,the satellite signal will lose lock and occur cycle slips,which will affect the accuracy of navigation and positioning.To solve this problem,this paper proposes a method of cycle slip detection and repair for INS aided BDS based on compressive sensing from the perspective of Bayesian statistics.In our algorithm,the Kalman filter is used to establish a tightly combined positioning model of BDS and INS.Meanwhile,a sparse cycle slips detection model based on compressive sensing is constructed,and according to the statistical test method to determine whether the cycle slips are generated.
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