Deere + Company

Soon Sik Hwang

Liwen L Dai

Min Wang

A relative positioning module applies a real-time kinematic (RTK) algorithm to provide relative position vector between reference receiver and rover receiver and to provide recovery data. At the rover, the precise positioning module applies the relative position vector, the aiding data, recovery data, and correction data as inputs, constraints, or both for convergence of one or more predictive filters on wide-lane and narrow-lane ambiguities (e.g., in accordance with a precise positioning algorithm). At the rover, the precise positioning module or the navigation positioning estimator estimates a precise position of the rover based on the converged or fixed narrow-lane ambiguities and wide-lane ambiguities.

Rapid determination of precise position by aiding data

A real-time kinematic (RTK) filter uses the backup data to estimate a relative position vector between the mobile receiver at the first measurement time and the mobile receiver at the second measurement time and to provide recovery data associated with a satellite-differenced double-difference estimation for the mobile receiver between the first measurement time and the second measurement time. A navigation positioning estimator can apply the relative position vector, the backup data, the recovery data from the RTK filter, and received correction data with precise clock and orbit information on the satellite signals, as inputs, constraints, or both for convergence or resolution of wide-lane and narrow-lane ambiguities, and determination of a precise position, in accordance with a precise positioning algorithm.

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Torrance, CA, United States of America

Soon Sik Hwang