Abstract: A Global Navigation Satellite System (GNSS) receiver includes a wideband signal correlator and a multipath mitigator. The wideband signal correlator generates wideband correlation signals of at least one of a plurality of GNSS signals with respect to corresponding locally generated code replica signals in which a bandwidth of the wideband signal correlation module is at least about 20 MHz. The multipath mitigator determines a Line of Sight (LOS) signal from the wideband correlation signals. The GNNS receiver may include a narrowband signal correlator to generate narrowband correlation signals of the at least one GNSS signal with respect to corresponding locally generated code replica signals in which a bandwidth of the narrowband signal correlation module is less than about 6 MHz. The multipath mitigator further corrects a range and range-rate measurement generated from the narrowband correlation signals based on a code phase and a carrier estimated based on the LOS signal.

Abstract: A feature enhancement and data augmentation method for detecting at least one action of at least one tested subject is provided. The feature enhancement and data augmentation method includes obtaining at least one spectrogram; and performing a feature enhancement processing on the at least one spectrogram, to enhance at least one feature corresponding to at least one action in the at least one spectrogram and generate at least one feature enhanced spectrogram. The feature enhancement processing comprises a directional filtering.

Abstract: An electrical circuit for providing an output signal based on a first input signal and a second input signal has: a mixer which is configured to receive and mix the first and second input signals in order to generate a mixer output signal and to switch on or off based on the first input signal, wherein a DC signal component of the mixer output signal depends on whether the mixer is switched on or off; and a downstream circuit which is configured to switch on or off based on the DC signal component of the mixer output signal and to provide the output signal based on the mixer output signal.

Abstract: This document describes techniques for enabling radar system calibration with bistatic sidelobe compensation. Radar signals reflect off of a flat plate that changes orientation (e.g., elevation and/or azimuth angle) and position relative to a mounting position of a specific radar sensor being calibrated. For each radar sensor, measurements may be obtained across a range of translational positions of the flat plate. Highly accurate calibration errors are determined for each radar sensor this way. By calibrating radar systems repositioning the target during the data collection in this way, the prominence of any bistatic sidelobes appearing in measurements may be reduced or prevented, which may enable less-complex and more-accurate calibration of each unique radar system installation. An indication of each calibration error may be output for use in individually adjusting the mounting position of each specific radar sensor within a radar system.

Abstract: A radar signal imaging device 30 includes: a transmission unit 31 which transmits a radar signal toward an object to be imaged that is a non-rigid body; a position estimation unit 32 which estimates the position of the object; an oscillation degree estimation unit 33 which estimates an oscillation degree which is a degree of change within a predetermined period in the relative positions of feature points constituting the object; and a synthetic aperture processing unit 34 which performs synthetic aperture processing on the radar signal reflected by the object on the basis of the estimated position of the object and the estimated oscillation degree.

Abstract: A method of emulating echo signals reflected from an elongated target during radar testing includes identifying first and second end points do the target; acquiring a radar signal from a radar sensor that includes multiple receive elements; generating emulated echo signals, responsive to the acquired radar signal, corresponding to target points on the target, including the first and second end points and reference points located on a line connecting the first and second end points, by repeatedly identifying descriptive attributes corresponding to each of the target points during an integration period of the radar sensor, where the descriptive attributes are identified by interpolating between the corresponding descriptive attributes of the first and second end points; and applying the emulated echo signals to the receive elements of the radar sensor, respectively, during the integration period, where radar sensor calculates a relative position of the target using the descriptive attributes.

Abstract: A radar anti-spoofing system for an autonomous vehicle includes a plurality of radar sensors that generate a plurality of input detection points representing radio frequency (RF) signals reflected from objects and a controller in electronic communication with the plurality of radar sensors. The one or more controllers execute instructions to determine a signal to noise ratio (SNR) distance ratio for the input detection points generated by the plurality of radar sensors, where a value of the SNR distance ratio is indicative of an object being a ghost vehicle. The one or more controllers also determine an effective particle number indicating a degree of particle degradation for the importance sampling for each variable that is part of the state variable. In response to determining the effective particle number is equal to or less than a predetermined threshold, the one or more controllers estimate a ghost position for the ghost vehicle.

Abstract: A radar apparatus for detecting a target object is provided, which can improve target object detection performance by improving a Field of View (FOV) and can be widely used in various fields such as robotics and Internet of Things (IoTs) devices, as well as autonomous vehicles.

Abstract: A method and apparatus for processing a transceiver signal (115) detected by a transceiver (110). The method includes obtaining (S1) a processed signal from the transceiver signal (115), the processed signal having frames (200, 300) corresponding to respective time intervals (t1, t2, t3, t4), wherein the frames define bins (210, 310) configured according to a quantized resolution (dr) of the transceiver signal (115). The method further includes obtaining (S2) data related to a relative motion of the transceiver (110) during a time interval (t1, t2, t3, t4) and initializing (S3) a residual distance to zero.

Abstract: Waveguides and related assemblies for use, for example, in RADAR sensor assemblies and the like. In some embodiments, the waveguide may comprise a conductive member having a first plurality of posts arranged in a first row thereon. A second plurality of posts may be arranged in a second row on the conductive member to define a waveguide between the first plurality of posts and the second plurality of posts. One or more platforms may be provided to project at least a subset of the first plurality of posts and the second plurality of posts beyond at least a portion of the conductive member adjacent to the one or more platforms. A second conductive member, such as a cover, may be coupled to the conductive member such that the first and second pluralities of posts extend between the conductive member and the cover.

Abstract: An object is to enable measurement of position and velocity of a measurement object. A velocity measurement device includes a transmitting means, a receiving means, and a signal processing means. The transmitting means transmits a transmission signal by a transmitting antenna toward a measurement object. The receiving means receives a reflected wave from the measurement object with multiple receiving antennas and generates a reception signal for each of the receiving antennas. The signal processing means obtains a phase plane of the reflected wave with respect to an antenna plane of the multiple receiving antennas from a phase difference between the reception signals to specify an arrival direction of the reflected wave, obtains a distance to the measurement object from a propagation delay time of the reflected wave, and calculates a phase fluctuation of the reflected wave to calculate a velocity of the measurement object from the phase fluctuation.

Abstract: A radar target simulator front end, configured to simulate at least one radar target for testing a radar device under test is provided. The radar target simulator front end comprises at least two antenna units, arranged along a first angle under investigation. The at least two antenna units are configured to be selectively activated and deactivated. Whereby each antenna unit of the at least two antenna units generates a simulated radar target along the first angle under investigation, when activated.

Abstract: Method for fill level measurement with a radar fill level measuring device using the following steps: sending a transmission design with a plurality of frequency ramps, receiving a reception signal per frequency ramp of the transmission signal, saving the reception signals in a memory, performing a first spectral analysis of the reception signals or performing a second spectral analysis of the reception signals, carrying out a second spectral analysis of several output signals of the first spectral analysis at the location of at least one significant reflector in the reception signal or performing a first spectral analysis of several output signals of the second spectral analysis, determining the distances of significant reflectors from the results of the first spectral analysis, determining the fill level echo based on the previously determined information.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to test RADAR integrated circuits. A radar circuit comprising a local oscillator (LO), a transmitter coupled to the LO and configured to be coupled to a transmission network, a receiver configured to be coupled to the transmission network, and a controller coupled to the LO, the transmitter, and the receiver, the controller to cause the LO to generate a frequency modulated continuous waveform (FMCW), cause the transmitter to modulate the FMCW as a modulated FMCW, cause the transmitter to transmit the modulated FMCW via the transmission network and the receiver to obtain a received FMCW from the transmission network, and in response to obtaining the received FMCW from the receiver, generate a performance characteristic of the radar circuit based on the received FMCW.

Abstract: A method, a computer program with instructions, and a device for predicting a course of a road based on radar data of a motor vehicle. The radar data to be processed is received and then accumulated in a measuring grid. Subsequently, clusters are formed for objects in the measuring grid. Cluster descriptions are generated for the clusters. The resulting clusters are processed to determine polynomials for describing the road edges. The polynomials are finally output for further use.

Abstract: A method for implementing radar-communication integration of a vehicle, where the method includes obtaining, by a radar device of a first vehicle, a first communication message, modulating the first communication message into a first carrier signal, where an operating frequency of the first carrier signal is in an operating band of the radar device, sending a periodic radar signal, and sending the first carrier signal to a second vehicle within a time gap between sending of a radar signal in a current period and sending of a radar signal in a next period.

Abstract: A signal processing apparatus that performs signal processing on a Doppler spectrum derived from a reception signal of a reflected wave of pulsed undulation repeatedly transmitted into a space removes a topographic echo spectrum from the Doppler spectrum and extracts a plurality of candidate points of a target echo spectrum from the Doppler spectrum from which the topographic echo spectrum has been removed. Furthermore, the signal processing apparatus determines positional relation between the candidate points and a plurality of removed points of the topographic echo spectrum removed from the Doppler spectrum and extracts as an interpolation point, a point where the target echo spectrum is missing by removal of the topographic echo spectrum based on positional relation between the candidate points and the removed points in a direction of a frequency axis.

Abstract: An object-detecting device includes a first detector, an object tracker, a second detector, and an axial misalignment determiner. The first detector detects a distance between a moving body and an object and an orientation of the object relative to the moving body based on detection information acquired from detection sensors including a search wave sensor that searches a detection region with a search wave. The object tracker tracks the same object passing through a different detection region based on the detection information. The second detector detects at least either one of a height of the object or a lateral distance of the object as object information based on the detection information.

Abstract: A vehicle radar system includes at least one radar, a detection section, an extraction section, a pair determination section, and a target position determination section. The extraction section extracts at least one observation point pair from a plurality of detected observation points. The observation point pair is a pair of the observation points located in the same direction. The target position determination section calculates a surface direction of a reflection surface from a reflection surface observation point of the observation point pair and observation points around the reflection surface observation point, and determines a position of the target from the calculated surface direction and the at least one observation point pair.

Abstract: In various examples, a deep neural network(s) (e.g., a convolutional neural network) may be trained to detect moving and stationary obstacles from RADAR data of a three dimensional (3D) space, in both highway and urban scenarios. RADAR detections may be accumulated, ego-motion-compensated, orthographically projected, and fed into a neural network(s). The neural network(s) may include a common trunk with a feature extractor and several heads that predict different outputs such as a class confidence head that predicts a confidence map and an instance regression head that predicts object instance data for detected objects. The outputs may be decoded, filtered, and/or clustered to form bounding shapes identifying the location, size, and/or orientation of detected object instances. The detected object instances may be provided to an autonomous vehicle drive stack to enable safe planning and control of the autonomous vehicle.