Patent application number | Description | Published |
20090088180 | COMPUTING GEOGRAPHICAL LOCATION OF A MOBILE RECEIVER USING NETWORK MEASUREMENT REPORTS - A method and an apparatus for determining a location of a mobile receiver including the steps of measuring a plurality of signal strengths received by a mobile receiver, wherein the plurality of signal strengths are associated with a plurality of cellular stations, wherein the plurality of signal strengths is associated with a specific point in time, combining the plurality of signal strengths with a plurality of signal path modeling parameters to create a propagation path loss model of the path between the plurality of cellular stations and the mobile receiver, applying a non-linear estimation algorithm to the propagation path loss model, generating a plurality of distances, wherein each distance is associated with the mobile receiver and each of the plurality of cellular stations and computing the location of the mobile receiver by iterating the non-linear estimation algorithm and resulting mobile receiver position until converged. | 04-02-2009 |
20110163917 | METHOD AND SYSTEM FOR ANTENNA ORIENTATION COMPENSATION FOR POWER RANGING - A mobile device comprising an antenna may be operable to adjust a plurality of received signal strength indications (RSSIs) for a plurality of known RF nodes based on an orientation of the antenna and an antenna gain profile (AGP) of the antenna. The mobile device may be operable to calculate a position of the mobile device utilizing a power ranging based on the adjusted plurality of RSSIs. The mobile device may generate an antenna orientation report (AOR) utilizing a magnetometer and an accelerometer in the mobile device and determine the orientation of the antenna based on the AOR. The mobile device may be operable to determine an antenna gain value associated with each of the plurality of RSSIs for the plurality of known RF nodes based on the orientation of the antenna and the AGP of the antenna. | 07-07-2011 |
20130021201 | Assisted Global Navigation Satellite System (AGNSS) with Precise Ionosphere Model Assistance - Embodiments enable higher accuracy GNSS performance by generating local/regional ionosphere models tailored to specific local/regional areas of interest and by using location-based delivery of the local/regional ionosphere models to mobile GPS receivers. Different types and levels of reference locations (e.g., Cell ID (CID), Location Area Code (LAC), Radio Network Controller ID (RNC-ID), Mobile Country Code (MCC)) can be used to estimate the location of mobile GPS receivers and to deliver the appropriate local/regional ionosphere models to the mobile GPS receivers. According to embodiments, the local/regional ionosphere models are fit into the same 8-parameter set as the broadcast global ionosphere model, therefore being compatible with existing GPS receivers that accept the broadcast global ionosphere model. | 01-24-2013 |
Patent application number | Description | Published |
20100090896 | DISTRIBUTED ORBIT MODELING AND PROPAGATION METHOD FOR A PREDICTED AND REAL-TIME ASSISTED GPS SYSTEM - A distributed orbit and propagation method for use in a predicted GPS or GNSS system, which includes a predicted GPS server (PGPS Server), a source of high accuracy orbit predictions (Orbit Server), a global reference network (GRN Server) providing real-time GPS or GNSS assistance data to the PGPS Server, a predicted GPS client (PGPS Client) running on a device equipped with a GPS or AGPS chipset. In response to requests from the PGPS Client, the PGPS Server produces and disseminates an initial seed dataset consisting of current satellite orbit state vectors and orbit propagation model coefficients. This seed dataset enables the PGPS Client to locally predict and propagate satellite orbits to a desired future time. This predictive assistance in turn helps accelerate Time To First Fix (TTFF), optimize position solution calculations and improve the sensitivity of the GPS chip present on, or coupled with, the device. In contrast with other conventional predicted GPS systems that forward large volumes of predicted orbits, synthetic ephemeris or synthetic almanac data, this method optimally reduces data transfer requirements to the client, and enables the client to locally synthesize its own predicted assistance data as needed. This method also supports seamless notification of real-time satellite integrity events and seamless integration of predicted assistance data with industry standard real-time assistance data. | 04-15-2010 |
20110267230 | DISTRIBUTED ORBIT MODELING AND PROPAGATION METHOD FOR A PREDICTED AND REAL-TIME ASSISTED GPS SYSTEM - A distributed orbit and propagation method for use in a predicted GPS or GNSS system, which includes a predicted GPS server (PGPS Server), a source of high accuracy orbit predictions (Orbit Server), a global reference network (GRN Server) providing real-time GPS or GNSS assistance data to the PGPS Server, a predicted GPS client (PGPS Client) running on a device equipped with a GPS or AGPS chipset. In response to requests from the PGPS Client, the PGPS Server produces and disseminates an initial seed dataset consisting of current satellite orbit state vectors and orbit propagation model coefficients. This seed dataset enables the PGPS Client to locally predict and propagate satellite orbits to a desired future time. This predictive assistance in turn helps accelerate Time To First Fix (TTFF), optimize position solution calculations and improve the sensitivity of the GPS chip present on, or coupled with, the device. In contrast with other conventional predicted GPS systems that forward large volumes of predicted orbits, synthetic ephemeris or synthetic almanac data, this method optimally reduces data transfer requirements to the client, and enables the client to locally synthesize its own predicted assistance data as needed. This method also supports seamless notification of real-time satellite integrity events and seamless integration of predicted assistance data with industry standard real-time assistance data. | 11-03-2011 |