Sirf Technology, Inc.

Csr Technology Inc.

Xiangdong Lin

Mangesh M Chansarkar

Lionel Jacques Garin

Marlene Wan

Daniel Liao

Gengsheng Zhang

David Tuck

Gang Xie

Mangesh Chambarkar

The present invention relates generally to methods and apparatuses for estimating and correcting for multipath in GNSS navigation systems. According to some aspects, the invention operates in situations where position and estimated position error are reasonably stable so as to detect when large multipath errors are present with confidence. After detection, the slowly varying biases from multipath or other un-modeled sources can be modeled separately from the navigation state. The measurements are kept in the solution without biasing the navigation state thereby ignoring the long-term biases for use over short-term periods with minimized pseudorange error when necessary.

Methods and apparatuses for multipath estimation and correction in GNSS navigation systems

Systems and methods for estimating a cell center location in a wireless communication system having an interface to a satellite positioning system ('SPS') such as for example, a Geosynchronous Positioning System ('GPS'). The wireless communication system provides service to mobile stations within a cell, each mobile station includes a SPS receiver. Examples of the systems and methods for estimating a cell center location analyze the mobile station locations in a cell as a uniform distribution of mobile station locations and calculate a statistical measure characterizing the mobile station locations as a function of the mobile station locations. In one example, the statistical measure is a maximum likelihood mobile station location. In another example, the statistical measure is the mean mobile station location in the cell. The estimated cell center location may be used to approximate the location of the mobile station during a warm or cold restart of the SPS receiver part of the mobile station.

System and method for estimating cell center position for cell ID based positioning

Systems and methods for estimating a cell center location in a wireless communication system having all interface to a satellite positioning system ('SPS') such as for example, a Geosynchronous Positioning System ('GPS'). The wireless communication system provides service to mobile stations within a cell, each mobile station includes a SPS receiver. Examples of the systems and methods for estimating a cell center location analyze the mobile station locations in a cell as a uniform distribution of mobile station locations and calculate a statistical measure characterizing the mobile station locations as a function of the mobile station locations. In one example, the statistical measure is a maximum likelihood mobile station location. In another example, the statistical measure is the mean mobile station location in the cell. The estimated cell center location may be used to approximate the location of the mobile station during a warm or cold restart of the SPS receiver part of the mobile station.

Systems and methods for detecting global positioning system (GPS) measurement errors are provided. In this regard, a representative system, among others, includes a navigation device that is configured to receive GPS signals from signal sources, the navigation device being configured to calculate pseudoranges (PRs) and delta ranges (DRs) based on the received GPS signals, the navigation device including a consistency check algorithm that is configured to: determine mismatches between the respective calculated PRs and DRs, and indicate that an error exists in the respective calculated PRs and DRs based on their mismatch and mismatch accumulations. This algorithm can be independent of navigation state and is capable of detecting slow-changing errors.

Systems and methods for detecting GPS measurement errors

A method for GPS navigation which uses an interacting multiple-model (IMM) estimator with a probabilistic data association filter (PDAF) improves navigation performance. The method includes (a) providing two or more models of GPS navigation, with each model characterized by a model state vector which is updated periodically, (b) providing for each model a corresponding filter for deriving, for each period, a current value for the corresponding model state vector based on current measurements made on parameters affecting the corresponding state vector; and (c) applying an interacting multiple model (IMM) estimator to provide, for each period, a current value for a system state vector using the current values of the model state vectors for that period and their corresponding filters. Each model state vector may include one or more of the following: variables: 3-dimensional position, 3-dimensional velocity, satellite clock bias, satellite clock drifts and one or more other satellite parameters. The current value of the system state vector may be a weighted average of the current values of the model state vectors, where the weights are a set of mode probabilities. In addition, one or more of the filters is a probabilitic data association filter (PDAF).

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Xiangdong Lin