A method for locating a user in a wireless network is disclosed. A mobile computer seeking to determine its location within a building detects the signal strength of one or more wireless base stations placed at known locations throughout the building. The mobile computer uses this measured signal strength to determine its location via a signal-strength-to-location table look-up. A table of known locations within the building and the base station signal strength at those locations is searched to find the most similar stored signal strength to the signal strength detected. The location corresponding to the most similar stored signal strength is determined to be the current location of the mobile computer. Alternatively, a number of signal strengths from the table can be used and the corresponding locations can be spatially averaged to determine the location of the mobile computer. The table can be derived empirically, by placing a mobile computer at the known locations and detecting the signal strength of the wireless base stations at those locations, or the table can be derived mathematically by taking into account a reference signal strength, the distance between the reference point and the known location, and the number of walls between the reference point and the known location. As an alternative, the base stations can detect the signal strength of the mobile computer. In such a case, the table would relate a known position of the mobile computer to the signal strength of the mobile computer at that location as detected by the one or more base stations.

A system and method to determine a location of a device in a wireless local area network (LAN) based on positioning assistance data acquired from a server is disclosed. The host-offload wireless LAN device may determine a location based on the location computations done inside the wireless LAN module. The device includes a storage medium configured to provide a database of positioning assistance data, a wireless LAN module configured to receive beacon signals broadcast from one or more access points, and a processor configured to store the access point identification information and the signal strength detected by the wireless LAN module in a first memory section, access the previously-stored positioning assistance data from the storage medium, assemble positioning assistance data based on a comparison, store the assembled positioning assistance data in a second memory section, and determine a location of wireless LAN device using assembled positioning assistance data.

An information processing apparatus comprises a recording module; an extraction module which extracts maximum radio wave intensity from the radio wave intensities recorded in the same time zone and extracts the radio wave intensities of other first communication devices arranged in the vicinity of a position where the first communication device with the maximum radio wave intensity is installed; and a positioning module which measures a position of the second communication device based on the plurality of the radio wave intensities extracted by the extraction module, wherein the positioning module determines that the second communication device is present at a position where the first communication device with the maximum radio wave intensity is installed on condition that the maximum radio wave intensity extracted by the extraction module is equal to or greater than a threshold value.

A technique is provided for localizing a plurality of wireless transmitters. The technique includes retrieving Received Signal Strength Indicator (RSSI) values measured by one or more sensors, corresponding to the plurality of wireless transmitters distributed in a region in which the sensors are located. The technique further comprises generating, a plurality of clusters based on the retrieved RSSI values. The technique further comprises generating a binary image based on the generated clusters. The binary image comprises one or more white regions and one or more black regions. The technique further comprises localizing position of each of the plurality of wireless transmitters, based on a determination of contours of the one or more white regions present in the binary image.

A method and system for positioning a mobile device in a predefined space using wireless signals transmitted by access points is disclosed. In an initial mapping stage, the predefined space is mapped to study the signal characteristics of positions in that space. Positions in the predefined space that are close to and receive signals from the same access points and have similar signal characteristics are grouped into clusters. Positioning of a mobile device in the predefined space is carried out in two stages. In the first positioning stage, the mobile device is assigned to one of the clusters. In a second positioning stage, the position of the mobile device is determined by applying a prediction method assuming that the assigned cluster is the new universe. Data from INS (Inertial Navigation System) sensors like accelerometers, gyroscopes and magnetometers are used to further refine the position.

A system for keyless entry applications using beamforming transmission in a millimeter wave spectrum in an environment. A memory with data including values indicative of link attributes associated with beam signal measurements with states of devices and states of environments. The states of the devices for each device including types of user behavior, locations and poses in each environment. Control circuitry performs beam training with a target device associated with at least one keyless entry application in the environment to measure beam signal values and environmental responses for different beams transmitted over the different beam angles. Selects, in response to the beam training, at least one dominant angle for a beamforming communication with the target device. Estimates, a state of the target device associated with the at least one keyless entry application or a state of the environment, corresponding to environmental responses for different beams estimated during the beam training.

The present disclosure provides a system, method and computer program for anonymous localization. The location of a mobile device can be determined based on signal strength from one or more access points and a radio map. A radio map can be generated by measuring signal strength at a set of fingerprints, which are a finite set of reference points within the area to be mapped.

A system for determining a position of a user in a building includes a control device, a plurality of stationary radio signal transmission devices, a radio signal receiving device, and a signal processing device. The signal processing device determines primary channel impulse responses based on the radio signals received by the receiving device. The signal processing device also determines a secondary channel impulse response based on a secondary radio signal received by the receiving device from a mobile device of a user. The channel impulse responses are evaluated to determine degrees of similarity that indicate how similar a first primary channel impulse response and the secondary channel impulse response are to one another. For each degree of similarity, a distance of the mobile device from the transmission device corresponding to the degree of similarity is determined. A position of the mobile device is determined based on the distances.

A localization approach based on cable length detection. In one aspect, a method performed by a positioning system for determining the location of a mobile communication device (MCD) is provided. In some embodiments, the method includes the positioning system determining a cable length value representative of the length of the cable connecting a base station to a radio head serving the MCD. The positioning system then determines a location of the MCD based on the determined cable length.

A vehicle system includes a processing device programmed to monitor a vehicle battery, predict a vehicle maneuver, and determine whether the vehicle battery has sufficient charge for a vehicle to execute the predicted maneuver. The processing device is further programmed to perform a preparatory action if the vehicle battery lacks sufficient charge for the vehicle to execute the predicted maneuver.