EXTENDED KALMAN FILTER POSITIONING METHOD BASED ON HEIGHT CONSTRAINT

    公开(公告)号:US20190146095A1

    公开(公告)日:2019-05-16

    申请号:US16309939

    申请日:2016-06-27

    CPC classification number: G01S19/40 G01S19/37 G01S19/42

    Abstract: A positioning method using height-constraint-based extended Kalman filter, suitable for a GNSS navigation and positioning system, comprises: obtaining an estimated state value of a current epoch by using an extended Kalman filter algorithm and according to an estimated state value of a previous epoch; constraining a positioning height of the current epoch by establishing a height constraint condition, so as to obtain an optimum estimated value of the current epoch and a corresponding mean square error, wherein the optimum estimated value satisfies the height constraint condition; further correcting the estimated state value by using a pseudorange obtained from the mean square error and a measured. Doppler shift residual to obtain a final estimated state value of the current epoch, thus more accurately obtaining positioning information of a target to be positioned in the current epoch and enhancing the accuracy of GNSS navigation and positioning.

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