To automatically determine geographic positions of signal sources in areas with limited satellite coverage, a system receives signal data collected by a receiver moving along a path through a geographic area with limited satellite coverage, the signal data being indicative of changes, over a period of time, in strength of respective signals detected by the moving receiver and emitted by multiple signal sources statically disposed along the path. The system determines a time it takes for a length of a vehicle to pass by the signal source at the determined speed. The system then calculates static positions of the signal sources using the signal data and the determined time, including associating the location of each signal source with a time when the signal source was directly over the roof of the vehicle in which the moving receiver is travelling.

The present invention relates to a system and a method for refined zoning via intersection. Specifically, anchor nodes (200) of a zone-based positioning system are divided into multiple hyper zones (40, 50) in different ways, where the different ways of dividing the hyper zones may be orthogonal to each other, with possibly partial overlapping. For each way of dividing the hyper zones (40, 50), the most likely candidate hyper zone is selected based on a user zoning method. Thereafter, the intersection (42) of the identified hyper zones is taken as the final location result of a mobile node to be located.

A sports object comprises an electronic circuit having a power source and a transmitter and arranged to transmit a signal identifying the sports object. The sports object has an inner core encapsulating the electronic circuit. The inner core is configured such that the inner core and electronic circuit are balanced. There is at least one outer core layer encapsulating the inner core. The sports object is used in a system for providing sports game information. The system comprises the sports object and a portable computing device including a receiver responsive to the signal and a location means for determining the location of the computing device. The computing device records the signal received at two or more different locations and records the location of the computing device at each of the different locations to enable estimation of a location for the sports object identified by the received signal.

Systems and methods including mobile devices determining their locations using location determination units, such as GPS receivers. Locations of the mobile devices and predefined locations/regions that have been visited by the mobile devices during a period of time are efficiently organized into a location graph that identifies the neighbors of predefined locations, distances to neighbors, and visitation counts of mobile devices to the predefined locations during the period of time. Keyword values for keywords representing user attributes are assigned to mobile devices and the predefined locations. Based on the location graph, the keyword values are propagated via the location graph, from neighbors to predefined locations, from mobile devices to predefined locations, and from predefined locations to mobile devices, to incrementally improve the accuracy of the keyword values over a number of time periods.

Forming and using a local network of smart edge sensor devices. After identifying a first smart edge device within a physical space, a computer system inserts a coordinate of the first smart edge device into a spatial map associated with the physical space and identifies a normal environmental state for the first smart edge device. After identifying a second smart edge device within the physical space, the computer system identifies a position of the second smart edge device relative to the first smart edge device based on signals generate by the first and/or second smart edge devices, inserts a coordinate of the second smart edge device into the spatial map, and identifies a normal environmental state for the second smart edge device. Based on monitoring signal streams generated by the first and second smart edge devices, the computer system identifies intent(s) associated with an object positioned within the physical space.

In some examples, a query including signal values providing measures of signals between a first wireless device and corresponding access points is received. Access points are ranked for the query based on sorting the signal values. Similarity values are computed, using the ranking, between the query and respective fingerprints of signal values collected at a plurality of locations in an area, each signal value of the signal values in the fingerprints providing a measure of a signal between at least one wireless device at a location of the plurality of locations and a respective access point of the access points. A location of the first wireless device is determined based on the computed similarity values.

A method in an LCS server of a wireless communication system is provided for positioning of an LCS target. Information is obtained relating to a first predefined geographical area, where it has been determined that a probability that the LCS target is located within the first predefined geographical area is below a threshold. A request is received for a positioning of the LCS target and the obtained information relating to the first predefined geographical area is used for the positioning of the LCS target.

UE positioning is added by use of a reconfigurable reflecting surface (e.g., IRS). The IRS is configured to adjust elements of the surface. The configuration may include signal switching on or off, signal phase, group delay, or signal amplitude. Positioning reference signal transmissions are performed that have line of sight to the UE and that reflect off the IRS. The UE takes measurements for the transmissions and can determine measurement(s) of angle of arrival or time of arrival or reference signal received power, and/or determine a channel estimation. Multiple methods are proposed to provide UE positioning.

Some embodiments use scanning devices to characterize radio signals received at a number of locations within a geographical area of interest. The signal characteristics along with the location information associated with the characteristics are stored in a centralized reference database. A mobile device characterizes signals it receives at a certain location and compares the characteristics with the signal characteristics stored in the reference database to obtain accurate location information of the certain location.

Aspects presented herein may enable an ML module to associate RF fingerprints with beam directions and/or beam features to improve the uniqueness of RF fingerprints. In one aspect, network entity may receive, from one or more wireless devices, a plurality of first RF fingerprints, each of the plurality of first RF fingerprints being associated with at least one directional feature and a location. The network entity may receive a request to determine a position of a UE based on at least one second RF fingerprint associated with the UE or captured by the UE. The network entity may estimate the position of the UE based at least in part on matching the at least one second RF fingerprint to at least one of the plurality of first RF fingerprints.