A system for analyzing movement of a plurality of objects, including a transceiver, a location and movement estimator, and a group classifier, where the transceiver receives a plurality of information units from the objects, each information unit includes data related to radio signals, the location and movement estimator uses the data to compute movement characteristics for the objects, and the group classifier classifies the objects to coordinated groups according to their movement characteristics.

The disclosure relates to a detection method and a detection apparatus, the method including: calculating, when a location base station in an ultra-wideband location system receives a pulse response, values of a plurality of specified pulse response characteristics using the received pulse response, and using the calculated values as values of the plurality of specified pulse response characteristics of the location base station; calculating differences between the values of the plurality of specified pulse response characteristics of the location base station and values of the plurality of specified pulse response characteristics of the location base station at a previous time, and using the calculated differences as variations of the plurality of specified pulse response characteristics of the location base station; determining, based on at least the variations of the plurality of specified pulse response characteristics of the location base station and by means of a trained classifier, whether signal propagation in which the location base station participates is non-line-of-sight propagation.

Methods, apparatus and systems for wireless tracking with graph-based particle filtering are described. A described wireless monitoring system comprises a transmitter transmitting a series of probe signals, a receiver, and a processor. The receiver is configured for: receiving the series of probe signals modulated by the wireless multipath channel and an object moving in a venue, and obtaining a time series of channel information (TSCI) of the wireless multipath channel from the series of probe signals. The processor is configured for: monitoring a motion of the object relative to a map based on the TSCI, determining an incremental distance travelled by the object in an incremental time period based on the TSCI, and computing a next location of the object at a next time in the map based on at least one of: a current location of the object at a current time, the incremental distance, and a direction of the motion during the incremental time period.

Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.

It is provided a method for enabling determination of proximity of a mobile device (2a, 2b) to a selected proximity determiner (3a). The method comprises the steps of: determining a base set of proximity determiners (3b-e) whereby an enlarged set of proximity determiners is defined as the selected proximity determiner and the base set of proximity determiners; receiving beacon measurements of signal strength of other proximity determiners in the enlarged set of proximity determiners; generating a two-dimensional graph based on the beacon measurements; receiving respective device measurements indicating signal strength of a signal from the mobile device at each proximity determiner in the enlarged set of proximity determiners; finding an optimum in a space defined by the two-dimensional graph; and determining the most probable position of the mobile device in the graph based on the optimum.

Techniques are described herein for developing a fingerprint map that may be used for 3D indoor localization. In one example, a network server may leverage a building footprint from an open source database with signal measurements taken by probing user devices from signal sources such as access point (AP) devices. The network server may use the signal measurements to remotely calculate corresponding 3D positions of the AP devices in a particular building. Further, the network server may use the building footprint and the calculated 3D positions of the AP devices as references for developing the fingerprint map for 3D indoor localization.

A method, a power adapter and a system for determining a location of the power adapter are provided. The method includes: determining whether the power input plug is engaged with an AC power output wall socket of a power source; if the power input plug is not engaged with the AC power output wall socket, instructing the beacon circuit module to broadcast tag information corresponding to the power adapter; else if the power input plug is engaged with the AC power output wall socket, enabling the tag reader to read a tag circuit of the power source; identifying an identification number detected from the tag circuit; determining a location of the power adapter according to the identification number and a location mapping table; sending a plug notification to a remote control center; and instructing the beacon circuit module for receiving a further tag information of a further power adapter.

A method, apparatus and computer-readable storage medium are provided that maintain a database including information identifying of one or more mobile devices. Each mobile device of the one or more mobile devices is configured to enable positioning based on radio signals. The positioning enabled by the respective mobile device is considered to be at least partially unexpected.

There is described a method of determining a time of arrival of a signal at a UWB ranging device comprising a first antenna, the signal being transmitted by another UWB ranging device, the method comprising: determining a first channel impulse response based on at least a part of the signal received at the first antenna; determining a first time value as an earliest point in time at which the amplitude of the first channel impulse response exhibits a peak value; setting a candidate time value to the first time value; determining a first upper value as the amplitude of the first channel impulse response at a time value corresponding to the candidate time value plus a predetermined upper time value; determining a second upper value as the peak value plus a predetermined upper amplitude value; determining a first lower value as the amplitude of the first channel impulse response at a time value corresponding to the candidate time value minus a predetermined lower time value; determining a second lower value as the peak value minus a predetermined lower amplitude value; determining, as a first condition, whether the first upper value is larger than the second upper value; determining, as a second condition, whether the first lower value is smaller than the second lower value; and if at least one of the first condition and the second condition is not fulfilled, setting the time of arrival to the candidate time value. Furthermore, a UWB ranging device and a UWB system are described.

A method is provided that includes obtaining or holding available radio positioning support map information and geographic map information. An overlapping geographic area is covered by the radio positioning support map and the geographic map, which is dividable into a plurality of subareas. The method also includes determining, for each subarea of the plurality of subareas, a respective observed radio positioning support device density at least partially based on the radio positioning support map and a respective expected radio positioning support device density at least partially based on the geographic map. The method further includes evaluating, for each subarea of the plurality of subareas, a respective radio positioning performance in a respective subarea at least partially based on the respective observed radio positioning support device density and the respective expected radio positioning support device density. A corresponding apparatus and computer readable storage medium are also provided.