A computing device and method are provided for accelerating the coarse relocalization process of the computing device by generating a current fingerprint using signal data detected by sensors, statistically analyzing the current fingerprint for proximity to candidate fingerprints in fingerprint data to generate a ranked list, and subsequently retrieving map data corresponding to the closest matching fingerprints in the ranked list. The computing device may comprise a processor, a memory operatively coupled to the processor, and a fingerprint program stored in the memory and executed by the processor.

An apparatus obtains a set of radio data comprising signal strength related values for radio signals transmitted by a transmitter with an association of each signal strength related value with a representation of a geographical location (201). The apparatus applies a frequency transform to the obtained set of radio data to obtain transform coefficients, each transform coefficient comprising a transform index and an associated transform value (202). The apparatus selects a subset of transform indices having more significant transform values than the remaining transform indices (203) and compresses the transform indices by encoding each transform index exploiting a probability of occurrence of an index value of a respective transform index (204). The same or another apparatus decodes the compressed transform indices again for use in position operations.

The present invention relates to integrated localization method and apparatus of high accuracy, and estimates a relative position of a moving node, based on motion sensing of the moving node, estimates an absolute position of the moving node, based on a change pattern of at least one signal strength received from at least one fixed node over a plurality of time points, calculates accuracy of the absolute position of the moving node that changes along a movement route of the moving node, and determines a current position of the moving node from at least one of the relative position and the absolute position estimated as such in accordance with the accuracy of the absolute position of the moving node. Accordingly, it is possible to accurately estimate a position of a moving node using a radio signal which not only accurately estimates the position of the moving node even in a change of wireless environment or various route changes but also has almost no change in signal strength over a wide region.

Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data pointscandidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

An apparatus obtains a set of radio data comprising signal strength related values for radio signals transmitted by a transmitter with an association of each signal strength related value with a representation of a geographical location. The apparatus applies a frequency transform to the obtained set of radio data to obtain transform coefficients, each transform coefficient comprising a transform index and an associated transform value. The apparatus selects a subset of transform indices having more significant transform values than the remaining transform indices and compresses the transform indices by encoding each transform index exploiting a probability of occurrence of an index value of a respective transform index. The same or another apparatus decodes the compressed transform indices again for use in position operations.

An edge device includes a first antenna array and a control circuitry that senses a surrounding of the edge device to recognize a user equipment (UE) in motion as valid to receive services from the edge device. A position of the UE in motion from the edge device is tracked to execute beamforming for directing a first beam of radio frequency (RF) signal having a signal strength greater than a threshold to the UE in motion. A first portion of the first antenna array is used to sense the surrounding area and one or more second portions of the first antenna array is used for the beamforming to direct the first beam of RF signal in a defined radiation pattern. Further, the defined radiation pattern of the first beam of RF signal is dynamically updated based on a change in a position of the UE in motion.

The present invention relates to wireless localization method and apparatus of high accuracy, and measures strength of at least one signal that is transmitted from at least one fixed node, estimates a relative position of a moving node, generates a change pattern of at least one signal strength according to relative changes in positions of the moving node over a plurality of time points from at least one signal strength and the relative position of the moving node, and estimates an absolute position of the moving node, based on a comparison between the change pattern of the at least one signal strength and a map of a distribution pattern shape of signal strength in a region where the moving node is located. Accordingly, it is possible to accurately estimate a position of a moving node using a radio signal which not only accurately estimates the position of the moving node even in a change of wireless environment but also has almost no change in signal strength over a wide region.

An edge device includes a first antenna array, control circuitry, and a sensing radar communicatively coupled to the control circuitry, where the sensing radar senses a surrounding area of the edge device. The control circuitry concurrently communicates two different beams of radio frequency (RF) signals to two user equipment (UEs) from two portions of the first antenna array based on the sensed surrounding area of the edge device by the sensing radar. The sensing radar and the first antenna array employ mutually isolated frequencies for the sensing and the communication, respectively.

A system and method for calculating a position in response to a position request. Observed beacon data associated with the request is used to select a calculation method based on available data for a venue and device capabilities. If sufficient venue data based on previously verified beacon positions is available, a position calculation can resolve floor and venue information. If insufficient previously observed data is available for a venue, the position is calculated using 2D data based on GPS observations. Following the choice a calculation model, the calculation position is returned in response to the position request.

A method and a system of providing, for display at a mobile computing device, a pedestrian route associated with an indoor facility. The method comprises localizing the mobile computing device at a first position of the indoor facility, determining a credential associated with the mobile computing device, and communicating, for display at the mobile computing device, the pedestrian route from the first position to at least a second position of the indoor facility, the pedestrian route determined at least partly based on the credential.