Aspects presented herein may improve the performance and accuracy of RF-based positioning. Aspects presented herein may enable a device to use RF Doppler measurements to detect and mitigate multipath effects in RF-based positioning. The RF-based positioning may include satellite navigation, terrestrial positioning system, and/or indoor positioning. In one aspect, a UE receives, via a receiver, signals from one or more entities. The UE determines whether each received signal is a multipath signal based on a Doppler shift measurement. The UE de-weights or excludes one or more signals of the received signals in estimating a position of the UE based on whether the respective received signal is determined to be a multipath signal.

The vehicle radar apparatus may include a transmitting array antenna configured to radiate radar signals for forward detection, N receiving array antennas configured to receive the radar signals reflected from a target after being radiated from the transmitting array antenna, and a control unit configured to estimate an azimuth of the target by using non-offset receiving array antennas among the N receiving array antennas and estimate an elevation of the target by using a phase difference between an offset receiving array antenna and the non-offset receiving array antenna among the N receiving array antennas and the azimuth of the target.

The vehicle radar apparatus may include a transmitting array antenna configured to radiate radar signals for forward detection, N receiving array antennas configured to receive the radar signals reflected from a target after being radiated from the transmitting array antenna, and a control unit configured to estimate an azimuth of the target by using non-offset receiving array antennas among the N receiving array antennas and estimate an elevation of the target by using a phase difference between an offset receiving array antenna and the non-offset receiving array antenna among the N receiving array antennas and the azimuth of the target.

The vehicle radar apparatus may include a transmitting array antenna configured to radiate radar signals for forward detection, N receiving array antennas configured to receive the radar signals reflected from a target after being radiated from the transmitting array antenna, and a control unit configured to estimate an azimuth of the target by using non-offset receiving array antennas among the N receiving array antennas and estimate an elevation of the target by using a phase difference between an offset receiving array antenna and the non-offset receiving array antenna among the N receiving array antennas and the azimuth of the target.

The vehicle radar apparatus may include a transmitting array antenna configured to radiate radar signals for forward detection, N receiving array antennas configured to receive the radar signals reflected from a target after being radiated from the transmitting array antenna, and a control unit configured to estimate an azimuth of the target by using non-offset receiving array antennas among the N receiving array antennas and estimate an elevation of the target by using a phase difference between an offset receiving array antenna and the non-offset receiving array antenna among the N receiving array antennas and the azimuth of the target.

A signal evaluation system is provided for evaluating a first EM signal and a second EM signal for use in a passive coherent location system. The signal evaluation system includes: a spectrum detecting component that detects the first EM signal and the second EM signal; a signal characterization component that generates a first characterization of the first EM signal and to generate a second characterization of the second EM signal; and a ranking component that ranks the EM signals for use in the passive coherent location system. The first characterization is based on an amplitude associated with the first EM signal and one of range resolution, Doppler resolution, and combinations thereof associated with the first EM signal. The second characterization is based on an amplitude associated with the second EM signal and one of range resolution, Doppler resolution, and combinations thereof associated with the second EM signal.

A signal evaluation system is provided for evaluating a first EM signal and a second EM signal for use in a passive coherent location system. The signal evaluation system includes: a spectrum detecting component that detects the first EM signal and the second EM signal; a signal characterization component that generates a first characterization of the first EM signal and to generate a second characterization of the second EM signal; and a ranking component that ranks the EM signals for use in the passive coherent location system. The first characterization is based on an amplitude associated with the first EM signal and one of range resolution, Doppler resolution, and combinations thereof associated with the first EM signal. The second characterization is based on an amplitude associated with the second EM signal and one of range resolution, Doppler resolution, and combinations thereof associated with the second EM signal.

Wavefield reconstruction may include reconstructing a wavefield at a location away from a seismic receiver based on seismic data sampled from the seismic receiver, a vector of model coefficients comprising a scattering potential, and at least one of a mapping matrix comprising a dictionary of Green's functions and an operator defined by a combination of a number of functions.

An apparatus for performing a wireless communication includes a communication interface configured to measure uplink (UL) Sounding Reference Signals (SRSs) transmitted from a mobile client device, and at least one processor configured to buffer a number of uplink (UL) SRS measurements derived from UL SRS transmissions of the mobile client device, the number of UL SRS measurements exceeding a threshold, extract features from UL SRS measurements, obtain a machine learning (ML) classifier for determining a category to be used for estimating mobility associated with the mobile client device, and determine the category of the mobile client device by applying the extracted features to the ML classifier. Methods and apparatus extract the features of either a set of power spectrum density measurements or a set of pre-processed frequency domain real and imaginary portions of UL SRS measurements and feed the features to an AI classifier for UE speed estimation.

A position determination device determines the position of a terminal. A signal of a sensor attached to one or both of a beacon and a terminal is sampled, so that a signal of the beacon may be transmitted and received only when the beacon or the terminal has moved. A plurality of beacons sequentially transmit beacon signals to determine the terminal position by determining a distance between the respective beacons and the terminal based on a time to receive the beacons. The device includes a beacon for transmitting a beacon signal; a terminal for receiving the beacon signal; and a first sensor attached to the terminal to sense movement of the terminal and to output a first sensing signal indicative of the sensed movement. The terminal has a reception mode for receiving the beacon signal and turns on/off the reception mode based on the first sensing signal.