Inter-alia, a method is disclosed comprising: receiving one or more beacon signals sent by one or more beacon devices (140-1-140-5); determining one or more identifier information of the one or more beacon devices, wherein the one or more identifier information of the one or more beacon devices are represented by the one or more beacon signals; and broadcasting or triggering broadcasting broadcast information for enabling determining of a position of the at least one first apparatus based at least partially on the determined one or more identifier information of the one or more beacon devices, wherein the broadcast information at least partially comprises or represents the determined one or more identifier information of the one or more beacon devices. It is further disclosed an according apparatus, computer program and system.

A first estimation unit estimates, based on pieces of information on the reception strength acquired by an acquisition unit in a first time period, a location of a transmitter. A first determination unit determines, based on the location of the transmitter estimated by the first estimation unit, an area in which the transmitter is present. A second estimation unit estimates, based on pieces of information on the reception strength acquired in a second time period, the location of the transmitter. A second determination unit determines, based on the location of the transmitter estimated by the second estimation unit, the area in which the transmitter is present. A correction unit corrects, when a determination result by the first determination unit is different from a determination result by the second determination unit, the determination result by the first determination unit to the determination result by the second determination unit.

An architecture is provided for cooperative target tracking and signal propagation learning using mobile sensors. A method can comprise as a function of sensing data representative of a location of a target device at a first defined moment and model data relating to a motion model representing a probability density function, determining, by a system comprising a processor, a group of locations for the target device at a second defined time point, wherein the probability density function facilitates determining, based on the location of the target device at the first defined moment, a current location of the target device at a third defined moment; and as a function of the group of locations, generating, by the system, a data structure representing a matrix of received signal strength values; and identifying, by the system, a location of the group of locations for the target device at the third defined moment based on the data structure.

This document describes techniques and systems for indoor localization using Bluetooth high-accuracy distance measurement (HADM). In examples, the described systems and techniques perform a signal-strength scan to identify multiple anchor points and then pair, based on the signal-strength scan, the tagged device with a first anchor point of the identified anchor points. A HADM time slot is set for the first anchor point and at least two additional anchor points of the identified anchor points. A HADM event is initiated, the HADM event including sending a HADM ping and receiving HADM responses from two or more of the identified anchor points. Based on at least a time of receipt of HADM responses received from the two or more of the identified anchor points, the location of the tagged device is calculated.

A real-time locating system of the present disclosure may be used in connection with a particular facility and may include a tag associated with an object disposed within the facility. The tag may be configured to continuously emit radio frequency signals encapsulating a tag identifier and a battery status. The real-time locating system may also include a sensor positioned at a known location within the facility. The sensor may be configured to receive radio frequency signals from the tag and determine an associated signal strength. The real-time locating system may be configured to utilize the known location of the sensor and the signal strength of the radio frequency signal to determine the location of the tag and thus the object within the facility.

A system may be configured to identify from among a plurality of access points in an area in communication with a network, a first access point associated with the area. In addition the system may also be configured to determine first location-related data for the first access point. Determining second location-related data for a second access point of the plurality of access points, the second access point being interior to the first access point within the network includes exchanging ranging data indicative of a first relative distance between the first access point and the second access point, the ranging data based at least in part on ranging message exchange measurements, and communicating the first location-related data from the first access point to the second access point.

A tracking device (150) for tracking an asset (110) at a facility is described herein. The tracking device comprises a communication interface (120) configured to communicate with at least one beacon (101-1, 101-2, 101-n) in proximity to the tracking device and an altitude sensor (125). The tracking device is configured to receive, via the communication interface, at least one signal from the at least one beacon, receive, via the altitude sensor, altitude information. The tracking device is configured to transmit, for use in tracking the asset at the facility, information based on the at least one signal and the altitude information.

A method includes obtaining piece(s) of calendar information indicative of at least one appointment taking place in a space and extracting a set of space identifiers representing space(s) of the venue. The space identifier(s) for one or more spaces are extracted based on an indoor map of the venue. The method also includes determining or triggering determining whether at least a part of the set of space identifiers or one or more spaces of the set of space identifiers match(es) the at least one space as represented by the piece(s) of calendar information; and if a match is found: determining one or more reference location estimates. A respective reference location estimate is indicative of a location of the space that was determined to be a match. A corresponding apparatus, computer program product and system are also provided.

Technologies directed to device detection and locationing are described. One method includes establishing a first wireless connection between a first wireless device and a second wireless device on a first channel. The first wireless device sends to the second wireless device a first indication that the first wireless device is to operate in an off-channel mode with a third wireless device at a first location a Fine Timing Measurement (FTM) procedure. The first wireless device performs a first FTM process between the first wireless device and the third wireless device. The first device determines first timing data including a signal round trip time (RRT) associated with the first FTM process and determines a first distance between the first wireless device and the third wireless device based on the first timing data. A second location of the first wireless device is determined using the first distance.

A geolocationing system and method for providing awareness in a multi-space environment, such as a hospitality environment or educational environment, are presented. In one embodiment of the geolocationing system, a vertical and horizontal array of gateway devices is provided. Each gateway device includes a gateway device identification providing an accurately-known fixed location within the multi-space environment. Each gateway device includes a wireless transceiver that receives a beacon signal from a proximate wireless-enabled personal locator device. The gateway devices, in turn, send gateway signals to a server, which determines estimated location of the wireless-enabled personal location device with angle of arrival modeling.