Embodiments include methods, performed by a network node, for providing positioning assistance data to one or more user equipment (UEs) in a wireless network. Such methods include determining an angular resolution of angular positioning assistance data for each particular beam of a plurality of beams transmitted by one or more transmission reception points (TRPs) in the wireless network. Such methods also include transmitting, to one or more UEs, the angular positioning assistance data for the plurality of beams. For each particular beam, the angular positioning assistance data includes a first part having a first resolution and, when the determined angular resolution for the particular beam is greater than the first resolution, a second part having a second resolution that is greater than the first resolution. Other embodiments include complementary methods performed by a UE, as well as network nodes and UEs configured to perform such methods.

Embodiments include methods, performed by a network node, for providing positioning assistance data to one or more user equipment (UEs) in a wireless network. Such methods include determining an angular resolution of angular positioning assistance data for each particular beam of a plurality of beams transmitted by one or more transmission reception points (TRPs) in the wireless network. Such methods also include transmitting, to one or more UEs, the angular positioning assistance data for the plurality of beams. For each particular beam, the angular positioning assistance data includes a first part having a first resolution and, when the determined angular resolution for the particular beam is greater than the first resolution, a second part having a second resolution that is greater than the first resolution. Other embodiments include complementary methods performed by a UE, as well as network nodes and UEs configured to perform such methods.

The angle of departure (AOD) of directed beams, e.g., beamformed beams, transmitted by one or more base stations, such as a gNB, and the angle of arrival (AOA) of the directed beams received by a UE may be used to improve positioning accuracy by identifying Line Of Sight (LOS) beams and multi-path beams. The differential AOA (DAOA) of a directed beam pair may compared to the differential AOD (DAOD) of the directed beam pair. Matching DAOA and DAOD may be used as an indication that the directed beams in the beam pair are LOS with the UE, whereas a mis-match indicates one or both of the directed beams are multi-path. The location of the UE may be estimated using the measurement information, e.g., AOA, RTT, RSTD, etc., obtained from LOS directed beams.

Methods and systems for wireless communication are provided. In one example, a method comprises: receiving, by a mobile device, a radio beam, the radio beam being a directional beam that propagates along an angle of departure with respect to an antenna that transmits the radio beam; identifying, by the mobile device, at least one of: the radio beam or a base station that operates the antenna; determining, by the mobile device, a position of the mobile device based on identifying at least one of the radio beam or the antenna of the base station; and outputting, by the mobile device, the position of the mobile device.

An airborne acoustic vector sensor for simultaneously measuring triaxial particle acceleration in three dimensions and pressure includes a triaxial MEMS accelerometer sensitive to an Earth gravitational field. The airborne acoustic vector sensor includes one or multiple MEMS microphones sensitive to sound pressure and overlapping the accelerometer in frequency. The airborne acoustic vector sensor includes a solid body having a density approximating a density of air. The accelerometer is mounted in or upon the solid body. The airborne acoustic vector sensor includes a suspension system supporting the accelerometer and solid body within a framework.

An airborne acoustic vector sensor for simultaneously measuring triaxial particle acceleration in three dimensions and pressure includes a triaxial MEMS accelerometer sensitive to an Earth gravitational field. The airborne acoustic vector sensor includes one or multiple MEMS microphones sensitive to sound pressure and overlapping the accelerometer in frequency. The airborne acoustic vector sensor includes a solid body having a density approximating a density of air. The accelerometer is mounted in or upon the solid body. The airborne acoustic vector sensor includes a suspension system supporting the accelerometer and solid body within a framework.

Disclosed are various techniques for wireless positioning. In an aspect, a user equipment (UE) determines one or more angle-based measurements of one or more reference signal resources transmitted by or received at the UE on one or more antennas of the UE and reports, to a positioning entity, the one or more angle-based measurements, a beam pattern associated with the one or more reference signal resources, a type of the one or more antennas, locations of the one or more antennas on the UE, an orientation of the one or more antennas, or any combination thereof.

Disclosed are various techniques for wireless positioning. In an aspect, a user equipment (UE) determines one or more angle-based measurements of one or more reference signal resources transmitted by or received at the UE on one or more antennas of the UE and reports, to a positioning entity, the one or more angle-based measurements, a beam pattern associated with the one or more reference signal resources, a type of the one or more antennas, locations of the one or more antennas on the UE, an orientation of the one or more antennas, or any combination thereof.

A system for recognizing the location of a subject, comprises a server, signal transceivers, and a tracking device. The server transmits a request and stores a map file. The signal transceivers respectively communicate with the server to receive the request, and broadcast a reference signal to the other signal transceivers. The tracking device bidirectionally communicates with the signal transceivers, and periodically sends a tracking signal. After each of the signal transceivers obtains the first received signal strength indicator corresponding to the received reference signal and the second received signal strength indicator corresponding to the received tracking signal, each transmits the first signal strength indicator and the second signal strength indicator to the server. The server determines relative position information for the at least one tracking device within the map file according to the first signal strength indicators, the second signal strength indicators, and location information from the signal transceivers.

Techniques are provided for utilizing network positioning protocols to perform a base station location and orientation computation procedure. An example method of determining an orientation of a base station antenna with a network server includes receiving measurement values from a base station based on uplink reference signals transmitted by a plurality of reference location devices, obtaining location information for the plurality of reference location devices, and determining the orientation of the base station antenna based on the measurement values and the location information.