A method is described for determining a position of a user device in relation to a vehicle, the vehicle including first and second receivers. The method includes transmitting a positioning signal by the transmitter of the user device, receiving the positioning signal by the first receiver and by the second receiver arranged at a distance from the first receiver, in at least one of the first and second receivers, receiving and identifying a reflected positioning signal reflected at a ground surface before reaching the first and second receivers, performing time synchronization between the transmitter and the first and second receiver, determining a position of the user device in a three-dimensional coordinate system based on a time-of-flight of the positioning signal received in the first and second receivers and on a time-of-flight of at least one reflected positioning signal received by at least one of the first and second receivers.

The present disclosure provides a terminal positioning method and apparatus. The method comprises: obtaining beam information corresponding to a terminal; obtaining a time advance amount of the terminal in a serving cell; and determining location information of the terminal according to the beam information and the time advance amount. The present disclosure may solve the technical problem of low terminal positioning precision.

A radar assembly for receiving signals at spaced frequencies from an unknown transmitting source comprising a receiver operative to receive signals; the receiver comprising a series of channels, each channel comprising a low pass filter configured to allow passage of a signal from an unknown transmitting source, an analog to digital converter configured to transform the signal from the unknown transmitting source to a digital signal, a Hilbert transform configured to transform the digital signal from the unknown transmitting source into a single sideband signal, a Fourier transform configured to transform the single sideband signal into a plurality of regularly spaced frequency samples, and an inverse Fourier transform for extracting regularly spaced frequency samples; whereby extracted pulses form a train of pulses that are inputted into an imager which utilizes synthetic aperture radar to form an image of the area of interest containing the unknown transmitting device and method thereof.

Techniques for determining a location of a mobile device are provided. An example of a method according to the disclosure includes determining, on the mobile device, beam identification information for one or more radio beams, transmitting, with the mobile device, the beam identification information to a network node, receiving, at the mobile device, positioning reference signal beam information for one or more positioning reference signals, generating, with the mobile device, one or more receive beams based on the positioning reference signal beam information, obtaining, with the mobile device, at least one measurement from at least one of the one or more positioning reference signals, and facilitating location determination of the mobile device at a location-capable device based at least in part on the at least one measurement.

A system and method for combining computer vision information about human subjects within the field-of-view of a computer vision subsystem with RF Angle of Arrival (AoA) information from an RF receiver subsystem to locate, identify, and track individuals and their location. The RF receiver subsystem may receive RF signals emitted by one or more electronic devices (e.g., a mobile phone) carried, held, or otherwise associated with am individual. Further, gestures can be made with the device and they can be detected by the system.

Methods and systems for wireless communication are provided. In one example, a mobile device is configured to: obtain beam support information of a plurality of cells; perform measurements of one or more signals at the mobile device based on the beam support information of the plurality of cells to support a location determination operation for the mobile device; and transmit results of the measurements of the one or more signals to at least one of a location server or to a base station to support the location determination operation. The beam support information may include: a number of beams supported at each cell of the plurality of cells, information to identify each beam of the number of beams supported at the each cell, beam width information of the each beam, and/or Positioning reference Signals (PRS) codebook information which encapsulates the beams which are enabled along various elevation and azimuth angles.

A method for determining a location of a communication device in a communication system is provided. The communication system comprises at least one transmission reception point, transmitting a plurality of beams. Especially, the method comprises establishing a connection between the communication device and the at least one transmission reception point, determining a transit time of messages between the at least one transmission reception point and the communication device, determining at least one strongest beam of the plurality of beams of the at least one transmission reception point, with regard to the communication device, and determining a location of the communication device, based upon the at least one transit time to the at least one transmission reception point and the at least one strongest beam of the at least one transmission reception point.

A position of a user equipment (UE) may be determined using downlink based solutions (e.g. OTDOA), uplink based solutions (e.g. UTDOA), or combined downlink and uplink based solutions (e.g. RTT). The serving gNBs may request neighboring gNBs to produce downlink reference signal transmissions to a target UE and/or measure uplink reference signal transmissions from the target UE. The serving gNB may receive the uplink reference signal measurements from neighboring gNBs and obtain an own uplink reference signal measurement and forward to the UE or another network entity all the uplink reference signal measurements. The UE may use the uplink reference signal measurements, along with the UE's own downlink reference signal measurements to determine RTTs. The serving gNBs or another entity may keep the uplink reference signal measurements and may determine RTTs after receiving the downlink reference signal measurements from the UE.

Disclosed are techniques for scheduling uplink (UL) and downlink (DL) physical layer resources for a serving node and a user equipment (UE) for round trip time (RTT) and observed time difference of arrival (OTDOA) based positioning. In an aspect, a serving node and/or a network entity configure the UL and DL physical layer resources, and inform the UE. A network node transmits RTT measurement (RTTM) signal to the UE and receives RTT response (RTTR) signals from the UE. The network node measures the times the RTTM signals are transmitted and the times the RTTR signals are received. The UE provides to serving node processing times indicating a duration between the UE receiving the RTTM signals and the UE transmitting the RTTR signals. The RTTs are calculated from the times measured by the network node and the processing times provided by the UE.

Poor BSE estimation accuracy resulting from conventional Extended Kalman Filtering (EKF) approaches using RF OI sensors mounted on the ground as a remote bullet tracking sensor motivated the design and development of the present disclosure. The observer based BSE removes EKF process noise (state noise) and measurement noise (OI sensor noise) covariance matrices selection and tuning which have been long recognized by the estimation community as a time consuming process during the design stage; requires no consideration of interactions when having the control input signal as part of the state propagation equation; and provides a significant improvement in velocity estimation accuracy, in some cases to less than 1 m/s errors in all axes, thereby meeting the miss distance requirement with amble margin.