One or more aspects of this disclosure relate to the usage of an impulse radio ultra-wideband (IR-UWB) radar to reconstruct a cross-sectional image of subject in a noninvasive fashion. This image is reconstructed based on the pre- and post-processing of recorded waveforms that are collected by the IR-UWB radar, after getting reflected-off the subject. Furthermore, a novel process is proposed to approximate the different tissues' dielectric constants and, accordingly, reconstruct a subject's cross-sectional image.

A method for processing coherent MIMO radar processing DDMA waveforms includes: generating waveforms on transmitters, the waveforms, modulo the pulse repetition frequency, being identical from one transmitter to the next, to within a phase ramp specific to each transmit path; generating, for at least one receiver, a Range-Doppler representation of echoes of transmitted waveforms, where, for each receiver, echoes of a transmitter occupy at least one frequency cell in the Doppler spectrum, each signal band specific to a transmitter, placement of the signal bands in the Doppler spectrum being determined by phase ramp applied to each transmitter, the waveforms generated to leave a portion of Doppler spectrum between two signal bands unoccupied; identifying the transmitter corresponding to each signal band, due to Range-Doppler representation of echoes of transmitted waveforms. The method is suitable for the millimetre band, automotive or aircraft radar, for detection of target relative to the carrier.

A data processing device and method for detecting interference in FMCW radar signals, configured to use an adaptive thresholding technique to identify interference in a plurality of samples forming a beat signal, the adaptive thresholding including grouping the plurality of samples into a plurality of subsets, determining a maximum magnitude of each subset and extracting an nth lowest maximum magnitude of the plurality of subsets to determine an adaptive threshold, and applying the adaptive threshold to each sample to generate a mask.

Methods and systems for estimating vehicle velocity based on radar data. The methods and systems include receiving a set of range-Doppler-beam, RDB, maps from radars located on a vehicle and performing an optimization process that adjusts an estimate of vehicle velocity so as to optimize a correlation score. The optimization process includes iteratively: spatially registering the set of RDB maps based on the current estimate of vehicle velocity, determining the correlation score based on the spatially registered set of RDB maps, and outputting an optimized estimate of vehicle velocity from the optimization process when the correlation score has been optimized. The methods and systems control the vehicle based at least in part on the optimized estimate of vehicle velocity.

According to embodiments, a radar system includes: at least one radio receiver which is comprised of: an antenna configured to receive RF data including both the direct-path RF signal transmitted from a radio transmitter and a reflected RF signal when the transmitted RF signal is reflected from the target; a memory configured to store the same predetermined RF waveform profile data used by the transmitter to generate and transmit the RF signal; a timing unit to provide timing; a matched filter application configured to generate and apply a matched filter for identifying RF signal signatures in RF data; and one or more processors configured to: (i) analyze the received RF data to identify multiple, repeated, individual RF signals corresponding to the direct-path transmitted RF signal; (ii) split the identified RF signals corresponding to the direct-path transmitted RF signal into a plurality of repeating units each having an interval time; (iii) create a matched filter using the predetermined transmit waveform (stored in memory) and apply the matched filter to each of repeating units to provide (a) a plurality of direct-path transmitted RF signal arrival times; and (b) a plurality of reflected RF signal arrival times; (iv) adjust relative arrival times and phases of the repeating units of the direct-path transmitted RF signal; and (v) generate radar data from the reflected RF signal further using the adjusted times and phases for arrival times of the repeating units of the direct-path transmitted RF signal.

In an embodiment, a method for tracking targets includes: receiving data from a radar sensor of a radar; processing the received data to detect targets; identifying a first geometric feature of a first detected target at a first time step, the first detected target being associated to a first track; identifying a second geometric feature of a second detected target at a second time step; determining an error value based on the first and second geometric features; and associating the second detected target to the first track based on the error value.

Disclosed are various techniques for wireless communication. In an aspect, a user equipment (UE) identifies a set of positioning sources, each positioning source comprising a positioning reference signal (PRS) resource, a PRS resource set, a PRS frequency layer, and/or a transmission/reception point (TRP). From the set of positioning sources, the UE identifies a consistency group comprising a collection of positioning sources grouped based on expected values of at least one metric of a reference signal from each positioning source, measured values of the at least one metric for the reference signal from each positioning source, and an error threshold. The UE identifies one or more subsets of positioning sources within the consistency group, each subset having at least one metric error value. The UE reports, to a network entity, information about the consistency group and information about at least one of the subsets of positioning sources within the consistency group.

The invention relates to a method for simplifying a sampled signal digital filter, the method including at least one step for: in order to obtain a first intermediate filter, gathering channels including discrete nonstationary operations relating to the same signal, the first channels including the nonstationary operations relating to a first signal and the second channels including the nonstationary operations relating to a second signal, in order to obtain a second intermediate filter, on each of the first channels and second channels, commutative stationary operations with the nonstationary operations, in order to eliminate the redundant nonstationary operations, and building the filter corresponding to the last obtained intermediate filter.

Improved ultrasound imaging using coherence estimation of a beamformed signal. Ultrasound imaging using coherence estimation of a beamformed signal as described herein may be performed by applying a plurality of filters to the beamformed signal to generate a plurality of filtered beamformed signals. Normalized cross-correlation may be performed on a plurality of pairs of filtered beamformed signals to determine a coherence coefficient corresponding to each pixel of an ultrasound image, which may be used to construct a coherence estimation ultrasound image.

Methods, apparatus and systems for sound sensing based on radio signals are described. In one example, a described system comprises: a transmitter configured to transmit a first wireless signal through a wireless channel of a venue; a receiver configured to receive a second wireless signal through the wireless channel, wherein the second wireless signal comprises a reflection of the first wireless signal by at least one object in the venue; and a processor. The processor is configured for: obtaining a time series of channel information (CI) of the wireless channel based on the second wireless signal, determining a presence of a vibrating object in the venue based on the time series of CI (TSCI), extracting a sound signal from the TSCI, and reconstructing at least one speech based on the sound signal.