Abstract: Systems and methods for determining the geographic location of a user based on limited and ambiguous information available from the user's mobile electronic communication device are provided. In an embodiment, a computer-based system estimates a device's physical location based on partial identification information collected from the device such as the local area code and cell identification number, and numerous non-locational attributes. When the system determines that the collected information from the device corresponds to more than one single geographic location the system may use additional techniques of iterative disambiguation and filtering to determine a predicted location. Additional techniques may be used to increase the confidence level of the predicted location.

Abstract: Systems and methods for estimating the minimum geographic coverage of a wireless base station. In an embodiment, the present invention estimates coverage by (1) receiving real-time wireless base station information from the mobile device; (2) extracting a set of location points and system specific information based on the real-time wireless base station information; (3) determining a coverage area based on the set of location points and the system specific information; (4) adjusting for errors based on various factors (5) storing the determined coverage area.

Abstract: Systems and methods for estimating the minimum geographic coverage of a wireless base station. In an embodiment, the present invention estimates coverage by (1) receiving real-time wireless base station information from the mobile device; (2) extracting a set of location points and system specific information based on the real-time wireless base station information; (3) determining a coverage area based on the set of location points and the system specific information; (4) adjusting for errors based on various factors (5) storing the determined coverage area.

Abstract: A wireless base station allows a mobile device to communicate with a wireless network. An estimate of the location of the wireless base station may allow a location based service to determine the location of a mobile device. In an embodiment, location may be estimated using a collection of data samples obtained from a mobile device. These data samples may contain carrier related timing information, for example GSM (Global System for Mobile Communications) timing information and received signal strength indication (RSSI). Data from the GSM timing information and RSSI may be analyzed to estimate a distance of a mobile device from a wireless base station. In another embodiment, a centroid of the data samples is computed. The centroid may then be used to estimate the direction of a cell phone tower relative to the centroid. In this way, using an estimate of distance and direction, location of wireless base station may be estimated.

Abstract: A method and system for accuracy analysis of wireless base station location is provided. In one embodiment, data from a set of mobile devices using a wireless base station is collected. A location of a wireless base station is estimated based on locations of the mobile devices (i.e. points) in the collected set. To provide a more accurate location estimation for the wireless base station, the estimated location is analyzed for accuracy based on the collected data. A confidence score is calculated using a weight function with weights for the collected data based on factors, such as, collection size, platform types of the mobile devices, quality, temporal diversity and/or spatial diversity of points corresponding to the mobile devices, etc. An estimated location of the wireless base station may be adjusted based on the calculated confidence score. An estimated coverage region of the wireless base station may be also estimated and adjusted.

Abstract: The invention pertains to location approximation of devices, e.g., wireless access points and client devices in a wireless network. Location estimates may be obtained by observation/analysis of packets transmitted or received by the access point. For instance, data rate information associated with a packet is used to approximate the distance between a client device and the access point. This may be coupled with known positioning information to arrive at an approximate location for the access point. Confidence information and metrics about whether a device is an access point and the location of that device may also be determined. Accuracy of the location determination may be affected by factors including propagation and environmental factors, transmit power, antenna gain and diversity, etc. A location information database of access points may employ measurements from various devices over time. Such information may identify the location of client devices and provide location-based services to them.

Abstract: The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In an instance of the invention, learning and inference methods are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to methods that bypass consideration of absolute signal strengths in location calculations. The invention facilitates approximations for locating a device by providing a method that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

Abstract: The present invention leverages changes in the sensed strength of radio signals at different locations to determine a device's location. In one instance of the present invention, inference procedures are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In another instance of the present invention, a system utilizes learning and inference methods that are applied to rank vector of signal strength vectors. Moving to such rank orderings leads to systems that bypass consideration of absolute signal strengths in location calculations. The present invention facilitates approximations for locating a device by providing a system that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.

Abstract: The present invention employs approximate device locations determined from changes in the sensed strength of radio signals at different locations. In one instance of the invention, the approximate device locations are based on inference procedures that are used to process ambient commercial radio signals, to estimate a location or a probability distribution over the locations of a device. In another instance of the invention, approximate device locations derived from learning and inference methods that are applied to rank vector of signal strength vectors are utilized. Moving to such rank orderings leads to methods that bypass consideration of absolute signal strengths in location calculations. The invention utilizes approximations for a device location that is based on a method that does not require a substantial number of available ambient signal strengths while still providing useful location inferences in determining locations.