A method by which a terminal operates in a wireless communication system, according to one embodiment, comprises the steps of: receiving time difference of arrival (TDoA) slots from anchor nodes (ANs); and measuring the position of the terminal by using the TDoA slots, wherein the TDoA slots include control information of the ANs and positioning reference signals (PRSs) of the ANs.

There is provided a method for an apparatus for a location service, the method comprising: receiving, from a network function, a location request to determine a location of a terminal, the location request comprising a first indication of a first area: determining whether the terminal is inside or outside of the first area; and sending, to the network function, a second indication of whether the terminal is inside or outside of the first area.

The location of a user equipment (UE) is determined at a scheduled location time based on location measurements for the UE received from one or more other entities. The location measurements are obtained at a plurality of times based on the scheduled location time. An uncertainty of the location that indicates a difference between the location and an actual location of the UE at the scheduled location time is determined and the location and the uncertainty of the location are sent to a requesting entity. The uncertainty of the location is based on a location uncertainty and a time uncertainty relative to the scheduled location time, which are combined into a single location uncertainty.

The present invention discloses a system and a method for detecting, localizing and categorizing radio frequency (RF) emitting sources. In operation presence of one or more RF sources are determined. Further, movement in the detected one or more RF sources is detected based on at least presence of spread power in spatial harmonics and visibility phase measurement. The frequencies of the radio waves at which the movement of one or more RF sources is detected are identified. A localization antenna subsystem is tuned to the identified frequencies one at a time to localize and identify the RF sources. Furthermore, the RF source is classified as an airborne source or ground-based source using radio interferometry imaging. Finally, on determination that the moving RF source is airborne, the interferometric images are further processed to confirm the type of airborne source.

Systems, methods, computer program products, and apparatuses to determine, by a neural network based on training data related to wireless signals exchanged by a device and a plurality of wireless access points in an environment, a respective distance between the device and each wireless access point, receive location data related to a respective location of each wireless access point of the plurality of wireless access points, determine a geometric cost of the neural network based on a geometric cost function, the respective distances, and the received location data, and train a plurality of values of the neural network based on a backpropagation and the determined geometric cost.

Methods are provided for determining a positioning of a portable device including first and second sensor(s) each having a confidence. These methods include: receiving first and second signals from the first and second sensor(s), respectively; generating positional data representing positional conditions of the portable device and including first and second positional data respectively from the first and second signals, by modelling the received signals based on predefined models defining a correspondence between predefined signals and predefined positional data; comparing the first and second positional data to determine a difference between them; adjusting the confidence of the sensors by determining a new confidence depending on a previous confidence and the determined difference between positional data; weighting the generated positional data depending on corresponding confidences; and determining the positioning of the portable device based on the weighted generated positional data. Computer programs and systems suitable for performing such methods are also provided.

A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. The integrated camera is used to automatically determine an identity of a frame viewer and can capture gesture-based feedback. The displayed photos are automatically shown and/or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.

Disclosed in the present application are an information transmission method and device, for use in implementing integrity monitoring of a downlink 3GPP RAT-dependent positioning network, so as to eliminate the influence of factors such as time offset of a base station, transmitter failure of the base station, a multipath channel, and a non-line-of-sight path channel. The information transmission method provided by the present application comprises: obtaining downlink positioning reference signal (PRS) parameter configuration information; measuring a downlink PRS from a base station on the basis of the downlink PRS parameter configuration information, and generating an error correction parameter ECP; and sending the ECP.

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) receives one or more positioning reference signals from a first transmission-reception point (TRP) involved in a positioning session with the UE, detects whether or not there is a positioning bias event associated with the first TRP based on one or more parameters related to the one or more positioning reference signals, the positioning bias event affecting an accuracy of a location estimate of the UE, and transmits, in response to the detection that there is a positioning bias event, a report of the positioning bias event to a network node. Upon receiving the report, the network node performs one or more corrective actions to address the positioning bias event.

Example embodiments relate to methods for estimating a location of at least one mobile network node and respective network. An example method for estimating a location of at least one mobile network node of a wireless communication network including the at least one mobile network node and at least two static network nodes includes performing initial range measurements between the at least two static network nodes in a pairwise manner. The method also includes determining an initial location estimate. Additionally, the method includes determining an estimate for corresponding noise samples. Further, the method includes estimating corresponding initial parameters of a Gaussian mixture noise model. In addition, the method includes determining a weighted sum of respective refined parameters of the Gaussian mixture noise model and the corresponding initial parameters of the Gaussian mixture noise model.