A localization device comprises: a wireless communication antenna; a satellite geospatial location module configured to determine a location of the localization device from signals received from geospatial location satellites; and a controller configured to: control the wireless communication antenna to scan wireless access points in a vicinity of the localization device and determine wireless network data corresponding to identified wireless access points; use the wireless network data to determine an environment type in which the localization device is located from an indoor environment in which signals cannot be received from geospatial location satellites and an outdoor environment in which signals can be received from geospatial location satellites; generate location indication data for the localization device, the location indication data depending on the environment type in which the localization device is located; control the wireless communication antenna to send the location indication data to a location database via one of the identified wireless access points; and cause the localization device to enter a sleep mode.

A method includes obtaining channel information, range information, and angle of arrival (AoA) information based on wireless signals communicated between an electronic device and an external electronic device. The method also includes generating an initial prediction of a presence of the external electronic device relative to a field of view (FoV) of the electronic device based on the channel information and at least one of the range information or the AoA information. The initial prediction includes an indication of whether the external electronic device is within the FoV or outside the FoV of the electronic device. The method further includes performing, using a tracking filter, a smoothing operation on the range information and the AoA information. Additionally, the method includes determining that the external electronic device is within the FoV of the electronic device based on the AoA information, the smoothed AoA information, and the initial prediction.

A method for detecting communication jamming attacks includes collecting, via a processor associated with a base station, local jamming information from a first vehicle and a second vehicle. The local jamming information having an attack time, an attack localization, and an attack frequency. The method further includes building a global jamming map comprising global jamming information, based on the local jamming information, determining, based on the global jamming map, a location of a communication jamming device, and causing to transmit global jamming information to a third vehicle. The global jamming information is associated with the location of the communication jamming device.

According to certain embodiments, a method for use in a network node comprises: obtaining range information for a wireless device in communication with the network node; obtaining direction information for the wireless device; and estimating a movement of the wireless device based on the range information, the direction information, and an interactive multiple modeling (IMM) filter. The IMM filter comprises a three-dimensional (3D) constant velocity model, a 3D constant acceleration model, and a 3D constant position model.

Coordinated radio fine time measurement is provided via sending, from a client device, a ranging request to a first radio; receiving a first response sent at a first time from the first radio over a first channel; receiving a second response sent at the first time from a second radio over a second channel; and calculating, based on times of flight for the first response and the second response, a location of the client device relative to the first radio and to the second radio. Coordinated radio fine time measurement is also proved via in response to receiving, at an Access Point (AP), a ranging request from a client device and determining to respond using multiple channels: sending, both at a first time, a first response from a first radio over a first channel a second response from a second radio over a different channel.

A method includes receiving call records from a control plane, each call record including a cell list identifying the server cell for the UE call session at the time the call record was generated and an ordered set of neighbor cells, ordered based on a characteristic of signals from the neighbor cells. Call records having truth data are selected, wherein the truth data includes geolocation (GL) data reported to be a GL associated with the call record. GL data of the selected call records is stored in association with the cell list for the selected call records. A centroid is determined as a function of the GL data associated with each of the selected call records that includes the associated cell list. The centroids are stored in association with the corresponding cell list, and can be retrieved as a prediction for a GL based on submission of a cell list.

Wireless communication between two electronic devices may be used to determine a distance between the two devices, even in the presence of an otherwise-disruptive attacker. A wireless receiver system of one device may receive a true wireless ranging signal from a first transmitting device and a false wireless ranging signal from an attacker. The wireless receiver system may correlate the wireless signals with a known preamble sequence and perform channel estimation using the result, obtaining a channel impulse response for the wireless signals. The wireless receiver system may filter the channel impulse response for the plurality of wireless signals by removing at least part of the channel impulse response due to the false wireless ranging signal while not removing at least part of the channel impulse response due to the true wireless ranging signal. The receiver system may perform a wireless ranging operation using the filtered channel impulse response.

A semantic access control system includes a computer system having an associated memory, the memory storing a semantic network model comprising a plurality of endpoints and oriented links between the endpoints and a semantic attribute. The computer system is configured to receive a primary signal having identification data associated with a user and to process an access attempt by the user to a secured endpoint by identifying the user based on the primary signal, sending an authorization message comprising a secondary access code, receiving a secondary signal containing the secondary access code as part of an email or cell phone transmission, allowing a computer-controlled access to the secured endpoint, and inferring the semantic attribute to the user when the computer-controlled access to the secured endpoint is allowed.

Disclosed are techniques for wireless communication. In an aspect, a user equipment (UE) transmits one or more provide capabilities messages to a location server, the one or more provide capabilities messages indicating at least a first set of capabilities of the UE to engage in a downlink radio frequency fingerprint (DL-RFFP) positioning procedure, and receives one or more positioning assistance data messages for the DL-RFFP positioning procedure from the location server, the one or more positioning assistance data messages based at least on the first set of capabilities.

There is provided mechanisms for position determination of a wireless device. A method is performed by a network node. The method comprises estimating a respective angle-of-arrival value for each of at least three ID antenna arrays from measured phase differences between antenna elements per ID antenna array for a signal communicated between the wireless device and the at least three ID antenna arrays. The antenna elements of each ID antenna array are arranged along a respective line. At least two of the lines are non-coincident with respect to each other. The method comprises determining the position of the wireless device by combining the angle-of-arrival values from the at least three ID antenna arrays.