Abstract: 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.

Abstract: Methods and apparatus for processing of GNSS signals are presented.

Abstract: 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.

Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites. Two filters, called “robustifier” and “main estimator” respectively, both use state variables and compute the values thereof based on: NSS signals observed by the NSS receiver, and/or information derived therefrom. The robustifier identifies, within the input data, measurements that do not match a stochastic model assigned thereto. For each identified measurement, the robustifier rejects the measurement, adjusts the stochastic model assigned to the measurement, and/or corrects the measurement. The robustifier uses fewer state variables than the main estimator. A corresponding system is also disclosed.

Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites over multiple epochs. A first filter, called “timely estimator”, and second filter, called “precise estimator” and delayed with respect to the timely estimator, are operated. The estimators use state variables, and make use of NSS signals observed by the NSS receiver or information derived therefrom. The precise estimator further computes its state variable values based on observations that are not derived from NSS signals observed by the NSS receiver. The values of some of the state variables computed by the timely estimator are recurrently replaced by values from the precise estimator. A corresponding system is also disclosed.

Abstract: 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.

Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites. Two filters, called “robustifier” and “main estimator” respectively, both use state variables and compute the values thereof based on: NSS signals observed by the NSS receiver, and/or information derived therefrom. The robustifier identifies, within the input data, measurements that do not match a stochastic model assigned thereto. For each identified measurement, the robustifier rejects the measurement, adjusts the stochastic model assigned to the measurement, and/or corrects the measurement. The robustifier uses fewer state variables than the main estimator. A corresponding system is also disclosed.

Abstract: The invention relates to a method carried out by a navigation satellite system (NSS) receiver or a processing entity receiving data therefrom, for estimating parameters useful to determine a position. The NSS receiver observes NSS signals from NSS satellites over multiple epochs. A first filter, called “timely estimator”, and second filter, called “precise estimator” and delayed with respect to the timely estimator, are operated. The estimators use state variables, and make use of NSS signals observed by the NSS receiver or information derived therefrom. The precise estimator further computes its state variable values based on observations that are not derived from NSS signals observed by the NSS receiver. The values of some of the state variables computed by the timely estimator are recurrently replaced by values from the precise estimator. A corresponding system is also disclosed.

Abstract: A multiband antenna apparatus for high-precision GNSS positioning is proposed. The multiband antenna apparatus comprises a first antenna configured for reception of GNSS signals in a first multiband of electromagnetic spectrum, a second multiband antenna configured for reception of GNSS signals in a second multiband of electromagnetic spectrum, and an antenna phase reference point configured to represent an integrated electric phase data. The antenna phase reference point is related to a physical reference point of the antenna apparatus.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Methods and apparatus are presented for improved productivity in determining static position of an antenna of a GNSS rover, such as in stop-and-go surveying. Computer-implemented methods and apparatus provide for determining a static position of an antenna of a GNSS rover from observations of GNSS signals collected at the antenna over multiple epochs and from correction data for at least one of the epochs.

Abstract: A multiband antenna apparatus for high-precision GNSS positioning is proposed. The multiband antenna apparatus comprises a first antenna configured for reception of GNSS signals in a first multiband of electromagnetic spectrum, a second multiband antenna configured for reception of GNSS signals in a second multiband of electromagnetic spectrum, and an antenna phase reference point configured to represent an integrated electric phase data. The antenna phase reference point is related to a physical reference point of the antenna apparatus.

Abstract: Methods and apparatus are provided for estimating parameters, i.e. ambiguities, derived from GNSS signals. Observations of each of received frequencies of a GNSS signal from a plurality of GNSS satellites are obtained for a plurality of instances in time (3120). The time sequence of observations is fed to a filter to estimate a state vector comprising float ambiguities, wherein each float ambiguity constitutes a non integer estimate of an integer number of wavelengths for a received frequency of a GNSS signal between a receiver of the GNSS signal and the GNSS satellite from which it is received and wherein the float ambiguities of the state vector are updated over time on the basis of the observations (3140). The occurrence of an interruption in tracking of at least one signal of a satellite is determined (3121). The float ambiguity of the state vector for the at least one signal for which an interruption in tracking occurred is maintained at the value before the interruption in tracking occurred (3122).

Abstract: 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.

Abstract: 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.