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公开(公告)号:US10890667B2
公开(公告)日:2021-01-12
申请号:US16094474
申请日:2017-04-13
Applicant: SOUTHEAST UNIVERSITY
Inventor: Xiyuan Chen , Bingbo Cui , Wei Wang , Zhengyang Zhao , Lin Fang
Abstract: The present invention discloses a cubature Kalman filtering method suitable for high-dimensional GNSS/INS deep coupling, including: S1, constructing a high-dimensional GNSS/INS deep coupling filter model; S2, generating an initialization cubature point for the constructed filter model by using standard cubature rules; S3, performing CKF filtering by using novel cubature point update rules. The present invention is suitable for high-dimensional GNSS/INS deep coupling filtering with high precision and high stability.
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公开(公告)号:US10663599B2
公开(公告)日:2020-05-26
申请号:US15511046
申请日:2016-06-27
Applicant: Southeast University
Inventor: Xiyuan Chen , Yang Yang , Xiying Wang , Bingbo Cui , Xinhua Tang , Xuefen Zhu
Abstract: The present invention discloses a joint non-coherent integral vector tracking method based on a spatial domain, which is used for further improving the performance of a vector tracking GPS (Global Positioning System) receiver. In a new vector tracking strategy design, a phase discriminator/a frequency discriminator in a traditional vector tracking loop is discarded, and baseband signals of visible satellites in each channel are taken as an observation value after performing non-coherent integration, and EKF (abbreviation of Extended Kalman Filter) is used to estimate directly and to solve the position, the velocity, a clock error, etc. of the GPS receiver. Because of the existence of non-coherent integral calculation, when GPS satellite signals are relatively weak, a carrier to noise ratio of an observation value may be effectively improved, and the tracking sensitivity is improved.
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