A positioning system has an initiator device configured for emitting a high-speed wireless signal, at least one reference device configured for receiving the high-speed wireless signal and emitting a low-speed wireless signal after receiving the high-speed wireless signal, at least one target device each having one or more components for receiving the low-speed wireless signals, and at least one engine configured for determining the position of each of the at-least-one target device by calculating the distance between the target device and each of the at-least-one reference device based on at least the times-of-arrival of the low-speed wireless signals, each time-of-arrival being the time that the corresponding low-speed wireless signal being received by the target device, and determining the position of the target device based on the calculated distances.

In some embodiments, a location of a mobile terminal is determined by obtaining a location of a first access point (AP), receiving a visibility indication indicating that a second AP received a signal from the first AP or the first AP received a signal from the second AP, determining a location of the second AP based on the received visibility indication and the location of the first AP, determining a location of the mobile terminal in communication with the second AP based on the determined location of the second AP, and transmitting a message indicating the location of the mobile terminal on a digital communication network.

In various embodiments, crowd sourcing techniques are provided to enable RTT-based positioning of UE. To address issues of discovering which beacons (e.g., Wi-Fi APs, cellular base stations, BLE transmitters, etc.) support measurement of RTT (e.g., according to IEEE 802.11mc, 3GPP Release 16, etc.), beacon RTT capabilities may be crowd-sourced from UE and maintained by a cloud-based location platform in a beacon database (or more specifically, a RTT database portion thereof). To address the issue of determining physical antenna positions, RTT measurements may be crowd-sourced from UE for those beacons that are RTT capable, and used by a trilateration algorithm (e.g., a WLS multilateration algorithm) to determine physical antenna positions, which also may be maintained in the beacon database. Accuracy of the trilateration may be enhanced by obtaining raw GNSS measurements (e.g., psuedoranges) from the UE, and performing a cloud-based RTK GNSS position fix for the UE.

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.

A method is disclosed that includes obtaining one or more pieces of radio measurements; determining one or more radio nodes that enable one or more mobile devices a respective positioning; and maintaining a database comprising information identifying the determined one or more radio nodes. A corresponding apparatus, computer-readable storage medium and system are also disclosed.

Calibrating a positioning system comprising a plurality of anchor nodes used to determine tag positions within a localization area using radio technology. The method includes performing, at a plurality of first measurement points in the localization area using the localization tag, first ranging measurements with respect to the plurality of anchor nodes using the radio technology to determine respective first distances from the measurement device to the plurality of anchor nodes and performing, at the plurality of first measurement points using the at least one odometry sensor, first odometry measurements to estimate respective first positions of the measurement device in the localization area, estimating locations of the plurality of anchor nodes based on the respective first distances determined by the first ranging measurements and the respective first positions estimated by the first odometry measurements, and calibrating the positioning system using the estimated locations of the plurality of anchor nodes.

A method and system of tracking and reporting locations of entity employees, the method for use with at least a first interface device including a display screen, the method comprising the steps of, providing a processor programmed to perform the steps of, storing schedules of entity employees where the schedules indicate scheduled locations of employees during time slots, receiving an indication from a first employee indicating at least a first future time slot, identifying locations of the entity employees during the future time slot, using the schedules of entity employees to generate a location representation indicating the locations of at least a subset of the entity employees during the at least a first future time slot and presenting the location representation via the first interface device.

This document describes a client-server approach for indoor-outdoor detection of an electronic device, and associated systems and methods. A server (104) collects crowdsourced information (140) from devices that detected a plurality of access points. An electronic device (102), performing a wire-less-network scan, detects access points (122) within range and detects sensor data (126) from other sensors (124). The electronic device (102) transmits such information to the server (104). The server accesses the crowdsourced information (140) to determine, per access point (122) detected in the scan, a percentage of total detections of the access point that are accompanied by a GPS signal of a device that detected the access point and an RSS value below which no such GPS signal accompanies the detections. The percentage and the RSS value enable a determination of a probability indicating whether the electronic device (102) is located outdoors, lightly indoors, or deep indoors, which enables the electronic device to trigger a corresponding function.

In some embodiments, a location of a mobile terminal is determined by obtaining a location of a first access point (AP), receiving a visibility indication indicating that a second AP received a signal from the first AP or the first AP received a signal from the second AP, determining a location of the second AP based on the received visibility indication and the location of the first AP, determining a location of the mobile terminal in communication with the second AP based on the determined location of the second AP, and transmitting a message indicating the location of the mobile terminal on a digital communication network.

To automatically determine geographic positions of signal sources statically disposed along a path in a geographic area with limited satellite coverage, a system generates an initial estimate of the geographic positions of the signal sources. To this end, the system receives signal data collected by a receiver moving along the path, the signal data being indicative of changes, over a period of time, in strength of respective signals emitted by the signal sources and detected by the receiver and, and generates an initial estimate of the geographic positions of the signal sources using the signal data and an average speed at which the receiver moves along the path. The system then revises the initial estimate of the geographic positions of the plurality of signal sources by determining, for a signal source associated with a segment of the path, a segment-specific average speed of the receiver.