A method for spatially filtering data includes receiving a plurality of signal parameter vectors including spatial-type information derived from a sensor and associated with a signal emitter, determining error magnitudes of a plurality of first and second coordinates, and transmitting the plurality of coordinates to at least two arrays of differing sparsity in an array data structure when the error magnitudes differ by a predetermined amount, where each array is representative of a physical spatial domain from which a plurality of signals are received by the sensor. The method also includes determining a plurality of elliptical error region probability objects representative of probability density functions of the plurality of coordinates, where each object is stored in association with at least one of the at least two arrays, and determining an intersection region between the plurality of objects that is representative of a location of the signal emitter.

A method of spatially filtering signal parameter vector data includes receiving, at a computing device, a first signal parameter vector at a first time and a second signal parameter vector at a second time occurring after the first time. The first and second signal parameter vectors are derived from a plurality of signals received at a sensor, and include first and second signal data blocks, respectively. The method also includes transmitting, to at least a first and second element of an array data structure representative of a physical spatial domain, the first and second signal data blocks, respectively, and determining an elliptical error region probability object having a center and a pair of axes containing the first and second signal data blocks. The center represents a highest probability location of a signal emitter at the second time and the pair of axes represents the spatial error of the center.

A method of spatially filtering signal parameter vector data includes receiving, at a computing device, a first signal parameter vector at a first time and a second signal parameter vector at a second time occurring after the first time. The first and second signal parameter vectors are derived from a plurality of signals received at a sensor, and include first and second signal data blocks, respectively. The method also includes transmitting, to at least a first and second element of an array data structure representative of a physical spatial domain, the first and second signal data blocks, respectively, and determining an elliptical error region probability object having a center and a pair of axes containing the first and second signal data blocks. The center represents a highest probability location of a signal emitter at the second time and the pair of axes represents the spatial error of the center.

Disclosed embodiments facilitate combining a plurality of wireless signal measurement sets with displacement measurements within some time interval of a position request to determine a User Equipment (UE) position. A first set of wireless signal measurements may be obtained from a first set of base stations at a first time at a first location. Subsequently, a second set of wireless signal measurements from a second set of base stations may be obtained at a second time at a second location distinct from the first location. A displacement measurement (e.g. a displacement vector) between the first location and the second location may be obtained. The position of the UE at the second location may then be determined based on the first and second sets of wireless signal measurements and the displacement measurement. In some embodiments, the first and second sets of wireless signal measurements may each be deficient measurement sets.

Disclosed embodiments facilitate combining a plurality of wireless signal measurement sets with displacement measurements within some time interval of a position request to determine a User Equipment (UE) position. A first set of wireless signal measurements may be obtained from a first set of base stations at a first time at a first location. Subsequently, a second set of wireless signal measurements from a second set of base stations may be obtained at a second time at a second location distinct from the first location. A displacement measurement (e.g. a displacement vector) between the first location and the second location may be obtained. The position of the UE at the second location may then be determined based on the first and second sets of wireless signal measurements and the displacement measurement. In some embodiments, the first and second sets of wireless signal measurements may each be deficient measurement sets.

Methods and apparatuses for device location are described. In one example embodiment, an apparatus and method for determining a location of a mobile device is presented using a single narrowband radio system. In one implementation, Bluetooth is utilized. Using the single base operating with the narrowband radio, the location of the mobile device is found by applying both angle determination and distance determination. Using phased array antennas, the angle between receiver and base is determined. The distance is determined using a time-of-flight method based on phase comparison and phase lock loop techniques which can be applied in narrowband radio transceivers.

Range and orientation of a transmitter and a receiver are found by detecting the magnetoquasistatic field couplings between coils at the transmitter and receiver. Sum functions and ratio functions are calculated for each of the unique magnetoquasistatic field couplings between the transmitter and the receiver. The sum and ratio functions are inverted to determine the drift-free range and orientation. Linear and angular velocity and acceleration are calculated by applying a filter to reduce noise, and then taking the corresponding derivatives.

A method for enabling angle-based positioning of a wireless device in a Wireless Local Area Network, WLAN, system comprises the steps of extracting directional information from beamforming information comprised in channel sounding feedback obtained from a wireless device and estimating an angular direction to said wireless device based on said extracted directional information.

A method for enabling angle-based positioning of a wireless device in a Wireless Local Area Network, WLAN, system comprises the steps of extracting directional information from beamforming information comprised in channel sounding feedback obtained from a wireless device and estimating an angular direction to said wireless device based on said extracted directional information.

A base station (10) according to the present invention includes a reception processing unit (104) that receives a signal for use in positioning transmitted from a terminal device, and a positioning processing unit (106) that computes the location of the terminal device using the signal for use in positioning.