Trimble Inc.

Trimble Navigation Limited

Rodrigo Leandro

Nicholas Charles Talbot

Ulrich Vollath

Xiaoming Chen

Markus Glocker

Ralf Drescher

Stephan Seeger

Methods and apparatus for processing of GNSS signals are presented. These include GNSS processing with obtaining GNSS data derived from signals received at a rover antenna, obtaining correction data, maintaining a time sequence of at least one rover position and at least one rover position difference with associated time tags, using the time sequence to determine at least one derived rover position by, starting from a position determined using corrections synchronous with rover data as an anchor position at a time tag, deriving a new anchor position for the time tag of the anchor position and at least one other estimated rover position at the time tag of the anchor position, and/or reporting the new anchor position and/or a new derived rover position.

GNSS processing with selecting and/or blending anchor positions

Methods and apparatus for processing of GNSS signals are presented. These include GNSS processing with predicted precise clocks, GNSS processing with mixed-quality data, GNSS processing with time-sequence maintenance, GNSS processing with reduction of position jumps in low-latency solutions, GNSS processing with position blending to bridge reference station changes, and GNSS processing with delta-phase correction for incorrect starting position.

GNSS processing with jump reduction

Some embodiments of the present invention derive an ionospheric phase bias and an ionospheric differential code bias (DCB) using an absolute ionosphere model, which can be estimated from data obtained from a network of reference stations or obtained from an external source such as WAAS, GAIM, IONEX or other. Fully synthetic reference station data is generated using the ionospheric phase bias and/or the differential code bias together with the phase leveled clock and ionospheric-free code bias and/or MW bias.

GNSS signal processing with ionosphere model for synthetic reference data

Methods and apparatus provide for positioning of a rover antenna from GNSS data derived from multi-frequency signals and correction data derived from a network of reference stations. At each of a plurality of epochs, the GNSS data and correction data are used to estimate values defining a rover antenna position and a set of multi-frequency ambiguities. An ionospheric-free carrier-phase ambiguity per satellite is estimated based on a known rover antenna position. The estimated ionospheric-free carrier-phase ambiguity is combined with an estimated widelane ambiguity and with an estimated ionospheric-free ambiguity and with values defining the known rover antenna position to obtain values defining an aided rover antenna position and aided multi-frequency ambiguities.

GNSS signal processing with known position for reconvergence

Method to estimate parameters derived at least from GNSS signals useful to determine a position, including obtaining at least one GNSS signal observed at a GNSS receiver from each of a plurality of GNSS satellites; receiving global correction information useful to correct at least the obtained GNSS signals from a first set of GNSS satellites, wherein the global correction information includes correction information which is independent from the position to be determined; receiving local correction information useful to correct at least the obtained GNSS signals from a second set of GNSS satellites, wherein the local correction information includes correction information which is dependent on the position to be determined; processing the obtained GNSS signals from the first set of GNSS satellites by using the global correction information; and processing the obtained GNSS signals from the second set of GNSS satellites by using the local correction information.

Global navigation satellite systems (GNSS) positioning using precise satellite data

Methods and apparatus for determining a precise position of a rover located within a region are presented using rover observations comprising code observations and carrier-phase observations of GNSS signals on at least two carrier frequencies over multiple epochs. Correction data is received for each of the epochs at least one code bias per satellite. Synthetic reference data is generated for each of the epochs from the correction data for a synthetic station location. A determination is made for each epoch whether a cycle slip has occurred. Upon determining that a cycle slip has occurred, values of any variables of a set of state variables which are affected by the cycle slip are reset. Each epoch of rover observations and correction data is used to estimate updated values for the set of state variables including a set of ambiguities and coordinates of a precise rover position.

Combined cycle slip indicators for regionally augmented GNSS

Methods and apparatus provide for positioning of a rover antenna from GNSS data derived from multi-frequency signals and correction data derived from a network of reference stations. Rover antenna position and multi-frequency ambiguities are estimated at each epoch. An ionospheric filter models variation in ionospheric bias per satellite. A set of ionospheric carrier-phase ambiguities is estimated at least when the multi-frequency ambiguities have attained a predetermined precision. The estimated ionospheric carrier-phase ambiguities are cached. After detecting interruption of signal at the rover antenna and determining reacquisition of signals at the rover antenna, an ionospheric bias per satellite over an interruption interval is predicted. For each satellite, a cached ionospheric carrier-phase ambiguity is combined with a predicted ionospheric bias to obtain a post-interruption ionospheric ambiguity estimate. The post-interruption ionospheric ambiguity estimates are used to aid estimation of rover antenna position after signal reacquisition.

GNSS signal processing with ionospheric bridging for reconvergence

Methods and apparatus are described for determining position of a rover antenna, comprising: obtaining rover GNSS data derived from code observations and carrier phase observations of GNSS signals of multiple satellites over multiple epochs, obtaining precise satellite data for the satellites, determining a virtual base station location, generating epochs of synthesized base station data using at least the precise satellite data and the virtual base station location, and applying a differential process to at least the rover GNSS data and the synthesized base station data to determine at least rover antenna positions.

GNSS signal processing with synthesized base station data

GNSS signal processing with delta phase for incorrect starting position

Methods and apparatus are described for processing a set of GNSS signal data derived from code observations and carrier-phase observations at multiple receivers of GNSS signals of multiple satellites over multiple epochs, the GNSS signals having at least two carrier frequencies and a navigation message containing orbit information, comprising: obtaining precise orbit information for each satellite, determining at least one set of ambiguities per receiver, each ambiguity corresponding to one of a receiver-satellite link and a satellite-receiver-satellite link, and using at least the precise orbit information, the ambiguities and the GNSS signal data to estimate a phase-leveled clock per satellite.

GNSS signal processing to estimate phase-leveled clocks

Methods and apparatus are described for processing a set of GNSS signal data derived from signals of a set of satellites having carriers observed at a rover antenna, wherein the GNSS signal data includes a carrier observation and a code observation of each carrier of each satellite, comprising: obtaining for each satellite clock corrections comprising at least two of: (i) a code-leveled satellite clock, (ii) a phase-leveled satellite clock, and (iii) a satellite clock bias representing a difference between a code-leveled satellite clock and a phase-leveled satellite clock, running a first filter which uses at least the GNSS signal data and the clock corrections to estimate values for parameters comprising at least one carrier ambiguity for each satellite, and a covariance matrix of the carrier ambiguities, determining from each carrier ambiguity an integer-nature carrier ambiguity comprising one of: an integer value, and a combination of integer candidates, inserting the integer-nature carrier ambiguities as pseudo-observations into a second filter, and running the second filter which uses at least the GNSS signal data and the clock corrections to obtain estimated values for parameters comprising at least the position of the receiver.

GNSS signal processing with rover ambiguity fixing

A method of determining the position of a GNSS receiver antenna includes steps of acquiring input data which includes observations at the GNSS receiver antenna of signals of at least clock and position information of GNSS satellites, for each of a plurality of epochs. Float parameters of a state vector from the input data of each epoch are then estimated. The float parameters include receiver antenna position, receiver clock, and at least one ambiguity per satellite. A jump in the at least one ambiguity of at least one satellite from one epoch to another epoch is detected. Then bridge parameters from the input data of at least one epoch and from the estimated float parameters are estimated. The bridge parameters include values sufficient to update the float parameters to compensate for the jump, and the bridge parameters are then used to update the float parameters.

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Ottobrunn, Germany

Rodrigo Leandro