Abstract: Methods and apparatus are provided for power saving in GNSS receivers. In one novel aspect, the ME tracking period, the ME interval, and the PE working period, the PE interval are dynamically determined based on the GNSS signal conditions and/or the user requirements. In one embodiment, acceptable provision estimated position fix are used. Estimated position result is generated at each GPS position interval if there is no position result generated by the PE working period. In another embodiment, the ME-tracking and/or the PE-working are adjusted to minimum operation needs by using ME-partial (MEP) and/or PE-partial (PEP). PEP is arranged aligned with MEP. In yet another embodiment, the PE working period is delayed such that the PE working period is aligned with the ME tracking period. The position result is generated based on a last epoch's measurement obtained in the previous ME tracking period.

Abstract: A satellite-based positioning method includes: obtaining predicted satellite data for at least one satellite vehicles (SVs) in a global navigation satellite system (GNSS); obtaining reference satellite data for the at least one SV; calculating satellite prediction error data for each of the at least one SV according to the predicted satellite data and the reference satellite data; and utilizing a processing unit to calculate a parameter for each of the at least one SV based on the satellite prediction error data. An associated satellite-based positioning apparatus is also provided.

Abstract: A location context managing method applied to an electronic device having at least one sensor, including: receiving positioning information from a plurality of positioning sources; receiving a value from the sensor; choosing a scenario from a scenario table based on the value received from the sensor and the positioning information received from the plurality of positioning sources, and calculating a location of the electronic device according to the scenario, wherein the scenario table lists a plurality of scenarios, each decides which positioning information from the plurality positioning sources to be adopted for the location calculation.

Abstract: A location context managing method applied to an electronic device having at least one sensor, including: receiving positioning information from a plurality of positioning sources; receiving a value from the sensor; choosing a scenario from a scenario table based on the value received from the sensor and the positioning information received from the plurality of positioning sources, and calculating a location of the electronic device according to the scenario, wherein the scenario table lists a plurality of scenarios, each decides which positioning information from the plurality positioning sources to be adopted for the location calculation.

Abstract: Methods and apparatus are provided for power saving in GNSS receivers. In one novel aspect, the ME tracking period, the ME interval, and the PE working period, the PE interval are dynamically determined based on the GNSS signal conditions and/or the user requirements. In one embodiment, acceptable provision estimated position fix are used. Estimated position result is generated at each GPS position interval if there is no position result generated by the PE working period. In another embodiment, the ME-tracking and/or the PE-working are adjusted to minimum operation needs by using ME-partial (MEP) and/or PE-partial (PEP). PEP is arranged aligned with MEP. In yet another embodiment, the PE working period is delayed such that the PE working period is aligned with the ME tracking period. The position result is generated based on a last epoch's measurement obtained in the previous ME tracking period.

Abstract: A satellite-based positioning method includes: obtaining predicted satellite data for at least one satellite vehicles (SVs) in a global navigation satellite system (GNSS); obtaining reference satellite data for the at least one SV; calculating satellite prediction error data for each of the at least one SV according to the predicted satellite data and the reference satellite data; and utilizing a processing unit to calculate a parameter for each of the at least one SV based on the satellite prediction error data. An associated satellite-based positioning apparatus is also provided.

Abstract: A data model containing orbital parameters is stored in a mobile device. When a First Fix is required by a GNSS system within the mobile device, these stored orbital parameters are used to rapidly generate accurate satellite trajectory data model. The stored orbital parameters may be modified in part or in whole as required by changing coefficients of the stored parameters.

Abstract: A method for updating a set of transformation information parameters used in a global navigation satellite system includes: obtaining at least one satellite navigation information for a satellite; and updating the set of transformation information parameters according to the obtained satellite navigation information. The method can extend the life time of the set of transformation information parameters, and used to generate better predictions of the satellite trajectory therefore the TTFF can be reduced while the positioning accuracy can also be improved.

Abstract: A method and device for predicting satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for at least one satellite. The microprocessor is used for determining a satellite trajectory prediction model according to the satellite navigation message, and propagating at least one set of satellite trajectory extension data by using the satellite trajectory prediction model.

Abstract: A method and device for using satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for a satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating a plurality of parameters of a satellite trajectory prediction model according to the propagating condition to establish an estimated satellite trajectory predication model, propagating a set of satellite trajectory extension data by using the estimated satellite trajectory prediction model, computing acquisition assistance data according to the satellite trajectory extension data and acquiring signals of the satellite by using the acquisition assistance data.

Abstract: A method and device for predicting satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for at least one satellite. The microprocessor is used for determining a satellite trajectory prediction model according to the satellite navigation message, and propagating at least one set of satellite trajectory extension data by using the satellite trajectory prediction model.

Abstract: A data model is built using satellite ephemeris data collected over an extended period of time, allowing generation on a server of very precise orbital parameters preferably using a force or numerical method. These orbital parameters are stored in a mobile device. When a First Fix is required by a GNSS system within the mobile device, these stored orbital parameters are used to rapidly generate accurate satellite trajectory data model without requiring access to a broadcasted ephemeris or a network connection. The stored orbital parameters may be modified in part or in whole as required by changing coefficients of the stored parameters.

Abstract: A data model containing orbital parameters is stored in a mobile device. When a First Fix is required by a GNSS system within the mobile device, these stored orbital parameters are used to rapidly generate accurate satellite trajectory data model. The stored orbital parameters may be modified in part or in whole as required by changing coefficients of the stored parameters.

Abstract: A method and device for predicting satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for at least one satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating at least one parameter of a satellite trajectory prediction model according to the propagating condition, and propagating at least one set of satellite trajectory extension data by using the satellite trajectory prediction model.

Abstract: A method for updating a set of transformation information parameters used in a global navigation satellite system includes: obtaining at least one satellite navigation information for a satellite; and updating the set of transformation information parameters according to the obtained satellite navigation information. The method can extend the life time of the set of transformation information parameters, and used to generate better predictions of the satellite trajectory therefore the TTFF can be reduced while the positioning accuracy can also be improved.

Abstract: A method and device for predicting satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for at least one satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating at least one parameter of a satellite trajectory prediction model according to the propagating condition, and propagating at least one set of satellite trajectory extension data by using the satellite trajectory prediction model.

Abstract: A method and device for predicting satellite trajectory extension data used in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for a satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating a plurality of parameters of a satellite trajectory prediction model according to the propagating condition, and propagating a set of satellite trajectory extension data by using the satellite trajectory prediction model.

Abstract: A method and device for using satellite trajectory extension data in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for a satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating a plurality of parameters of a satellite trajectory prediction model according to the propagating condition to establish an estimated satellite trajectory predication model, propagating a set of satellite trajectory extension data by using the estimated satellite trajectory prediction model, computing acquisition assistance data according to the satellite trajectory extension data and acquiring signals of the satellite by using the acquisition assistance data.

Abstract: A method and device for predicting satellite trajectory extension data used in a mobile apparatus. The device in accordance with the present invention comprises an I/O interface and a microprocessor. The input/output (I/O) interface is used for obtaining at least one satellite navigation message for a satellite. The microprocessor is used for determining a propagating condition according to the satellite navigation message, estimating a plurality of parameters of a satellite trajectory prediction model according to the propagating condition, and propagating a set of satellite trajectory extension data by using the satellite trajectory prediction model.