A method for user localization in a cellular network includes receiving, by a receiver unit, Orthogonal Time Frequency Space (OTFS) modulated Constant-Amplitude-Zero-Autocorrelation (CAZAC) sequences generated and transmitted in a Doppler-delay domain by a transmitter unit. The method further includes estimating, by the receiver unit, Doppler shift and/or relative speed between the transmitter unit and the receiver unit by filtering the received OTFS modulated CAZAC sequences.

Systems and methods for detecting electromagnetic emissions to monitor and manage road traffic. In one implementation, a system is provided for determining at least one of location, speed, and direction of vehicles on a roadway. The system comprising at least one receiver configured for placement at one or more fixed locations along the roadway to detect a plurality of non-reflected electromagnetic emissions originating from a plurality of vehicles. The system further comprise at least one processor configured to receive signal information from the at least one receiver and to identify in the plurality of non-reflected electromagnetic emissions an electromagnetic waveform of a vehicle. The at least one processor may calculate at least one of a Doppler effect, a phase difference, or a time difference of non-reflected electromagnetic emissions associated with the identified electromagnetic waveform, and determine at least one of a location, speed, and direction of the vehicle.

A method for kinematic state estimation of a UE in a wireless communication system. The method includes estimating of a kinematic state having two-dimensional position, two-dimensional velocity and a frequency bias of the UE. The estimation is based on and fully enabled by obtained measurements of Doppler shifts, relative two different antennas of the wireless communication system, of radio signals transmitted from the UE, and obtained distance-establishing measurements associated with the UE. A network node performing the method and a computer program therefore are also presented.

A method for kinematic state estimation of a UE in a wireless communication system. The method includes estimating of a kinematic state having two-dimensional position, two-dimensional velocity and a frequency bias of the UE. The estimation is based on and fully enabled by obtained measurements of Doppler shifts, relative two different antennas of the wireless communication system, of radio signals transmitted from the UE, and obtained distance-establishing measurements associated with the UE. A network node performing the method and a computer program therefore are also presented.

Embodiments include methods for determining a movement state of a user equipment (UE) operating in a radio access network (RAN). Such methods include performing positioning measurements on signals received from a plurality of transmission points (TPs) in the RAN, including first measurements of Doppler shift of signals from a first TP, second measurements of Doppler shift of signals from a second TP that is spatially separated from the first TP, and third measurements of signals from a third TP. The third TP can be the same as the first or second TP, or spatially separated from both. Such methods include determining a UE movement state based on the positioning measurements and an interacting multiple-model (IMM) that includes a first almost-constant velocity model, a second maneuver velocity model, and a Doppler shift bias state common to the first and second models. Other embodiments include complementary methods for a RAN node.

The described technology is generally directed towards adaptively changing which transmission scheme a user equipment is to use based on a Doppler metric (e.g., Doppler frequency) as evaluated against a threshold Doppler value. A network instructs a user equipment to use a Rank-1 precoder cycling transmission scheme if the Doppler metric of user equipment is above a threshold value, or to use a closed loop MIMO transmission scheme if the user equipment has a Doppler metric below the threshold value. The network can instruct the user equipment via a suitable message, or by switching off TPMI and notifying the user equipment thereof.

In a positioning system, a plurality of transmitter units (2, 3, 4, 5) transmit respective transmitter-specific identification signals at intervals, which are received at a mobile receiver unit (7). A processing system (7; 9) identifies the transmitter unit that transmitted each received identification signal, and, for each signal, determines range data from time of arrival data and determines distance data from Doppler shift information. The range data and distance data are compared to determine range error data. A position estimate for the mobile receiver unit (7) is determined by solving an optimisation problem using range estimates determined for the plurality of transmitter units, weighted in dependence on the range error data.

In a positioning system, a plurality of transmitter units (2, 3, 4, 5) transmit respective transmitter-specific identification signals at intervals, which are received at a mobile receiver unit (7). A processing system (7; 9) identifies the transmitter unit that transmitted each received identification signal, and, for each signal, determines range data from time of arrival data and determines distance data from Doppler shift information. The range data and distance data are compared to determine range error data. A position estimate for the mobile receiver unit (7) is determined by solving an optimisation problem using range estimates determined for the plurality of transmitter units, weighted in dependence on the range error data.

Described in this document are ways to accomplish high resolution and high dynamic range Doppler-Effect measurements for use in wireless communications and other applications such as positioning. Doppler Effect (interchangeably called Doppler shift or Doppler frequency shift) measurements have traditionally been done with purpose-built devices, such as pulse-based radars. Presented in this document are alternative ways to incorporate Doppler frequency shift measurement using modulated carrier signals with a conventional radio, without additional hardware.

Described in this document are ways to accomplish high resolution and high dynamic range Doppler-Effect measurements for use in wireless communications and other applications such as positioning. Doppler Effect (interchangeably called Doppler shift or Doppler frequency shift) measurements have traditionally been done with purpose-built devices, such as pulse-based radars. Presented in this document are alternative ways to incorporate Doppler frequency shift measurement using modulated carrier signals with a conventional radio, without additional hardware.