An Agent supportable device for determining a direction of an item of interest. The Agent supportable device includes an antenna configured to communicate with the reference transceiver associated with the item of interest. A receiver in the Agent supportable device is in logical communication with the antenna. A transmitter is also in logical communication with the antenna. A digital storage contains software executable upon demand via a processor in logical communication with the digital storage. The processor is operative via execution of the software to cause the apparatus to display a user interface on a visual display that includes an arrow indicating a direction of the item of interest in relation to the apparatus and a distance between the apparatus and the item of interest.

An apparatus, method and computer program is described comprising: receiving a first measurement report from a first communication node of a mobile communication system, wherein the first measurement report includes downlink measurement data generated at a user device in response to a positioning reference signal sent by the first communication node; receiving a second measurement report from the first communication node, wherein the second measurement report includes uplink measurement data generated at the first communication node in response to an uplink reference signal sent by the user device; determining an integrity of the measurement data based on a comparison of said uplink and downlink measurement data; and setting an integrity verification notification in accordance with the determined integrity.

Aspects of the subject disclosure may include, for example, monitoring, by a device, a synchronization signal generated by at least one anchor of a plurality of anchors located in a network, while engaged in a network communications mode. The disclosure further includes detecting an inability to sense the synchronization signal generated by the at least one anchor of the plurality of anchors for a number of frames and configuring the device to transition to peer-to-peer communications. The subject disclosure also addresses monitoring for a presence of the synchronization signal generated by the network of anchors, while engaged in peer-to-peer communications, to determine whether to transition back to a network communications mode. Other embodiments are disclosed.

A system for location of animals and/or objects in an environment includes a signal processing and signal generation system consisting of electromagnetic tags on animals (or other objects) in an environment (typically a three dimension outdoor natural environment) where the animals or objects are physically present at arbitrary locations, and an electro-magnetic signal generating, signal receiving, and signal processing system that can move through or in relation to the environment. The system can compute the location and identity of the animals or objects based on signals received from their associated tags, including the calculated location of the ID tags, which function as “Reader-Locators.” The calculated location is enhanced by information about the environment provided by maps, satellite photos, GPS, GIS and/or other data specific to the probability of the location of the animals or objects within certain regions of the environment. The system includes a physical and electromagnetic modeling operation that is interactive with the environmental information derived from the actual environment, either historically or in “real-time” as the monitoring process occurs.

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.

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 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 locator device.

A method comprising receiving a dataset comprising data associated with a plurality of radio frequency (RF) wireless transmissions associated with a plurality of objects within a plurality of physical scenes, wherein the dataset comprises, with respect to each of the objects, at least: (i) signal parameters of the associated wireless transmissions, (ii) data included in the associated wireless transmissions, and (iii) locational parameters with respect to the object; at a training stage, training a machine learning model on a training set comprising the dataset and labels indicating a type of each of said objects; and at an inference stage, applying the trained machine learning model to a target dataset comprising signal parameters, data, and locational parameters obtained from wireless transmissions associated with a target object within a physical scene, to predict a type of the target object.

A method comprising receiving a dataset comprising data associated with a plurality of radio frequency (RF) wireless transmissions associated with a plurality of objects within a plurality of physical scenes, wherein the dataset comprises, with respect to each of the objects, at least: (i) signal parameters of the associated wireless transmissions, (ii) data included in the associated wireless transmissions, and (iii) locational parameters with respect to the object; at a training stage, training a machine learning model on a training set comprising the dataset and labels indicating a type of each of said objects; and at an inference stage, applying the trained machine learning model to a target dataset comprising signal parameters, data, and locational parameters obtained from wireless transmissions associated with a target object within a physical scene, to predict a type of the target object.

An electronic device includes an ultra-wide band (UWB) communication module; a memory; and a processor operably connected to the UWB communication module and the memory, wherein the processor is configured to receive, through the UWB communication module, a first message from a first external electronic device at a first time slot; store, in the memory, the first message and a receiving time of the first message; receive, through the UWB communication module, a second message from a second external electronic device at a second time slot; store, in the memory, the second message and a receiving time of the second message; identify a time schedule information for transmitting a third message to the first external electronic device and the second external electronic device, the time schedule information including a transmitting time of the third message; obtain first time information regarding a period of time between the receiving time of the first message and the transmitting time of the third message and second time information regarding a period of time between the receiving time of the second message and the transmitting time of the third message; and transmit, through the UWB communication module, the third message including the first time information and the second time information to the first external electronic device and the second external electronic device at a third time slot.