Abstract: A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.

Abstract: An antenna apparatus includes a first component layer having a plurality of antenna elements forming an antenna array. A second component layer includes: (i) a plurality of RFICs coupled to the antenna elements, where each RFIC has active beamforming circuitry to adjust signals communicated with one or more of the antenna elements, and a portion of a first stage of a beamforming network (BFN); and (ii) an additional stage and a further stage of the BFN, each disposed externally of the RFICs. At least some of the RFICs include an intermediate amplifier coupled between the additional and further stages of the BFN.

Abstract: Various embodiments of the present technology relate to system, methods, and devices for capturing, processing, and rendering synthetic aperture radar data captured by a radar-based imaging system on graphical processing units based on a hive-cell mapping using a tessellation of a Goldberg polyhedron. In some embodiments, SAR data is produced by a radar-based imaging system. A computing apparatus receives the SAR data and associates at least a portion of the SAR data to one or more cells of a Goldberg polyhedron that covers the globe in approximately equally sized hexagonal or pentagonal cells based at least on a location of the SAR data. The computing apparatus provides the portion of the SAR data associated with one or more cells of the Goldberg polyhedron to one or more GPUs, and then processes the SAR data on each of the one or more GPUs to construct images from the SAR data.

Abstract: A device includes one or more processors configured to receive radar data, and generate a plurality of occupancy grid maps based on the radar data. Each of the occupancy grid maps corresponds to a respective one of a plurality of candidate angles. The one or more processors is also configured to select one of the candidate angles as a sensor mount angle based on the occupancy grid maps, and trigger an action based on the sensor mount angle and the radar data.

Abstract: Monostatic radar with progressive length transmission may be used with half-duplex systems or with full-duplex systems to reduce self-interference. The system transmits a first signal for a first duration and receives a first reflection of the first signal from a first object during a second duration. The system transmits a second signal for a third duration longer than the first duration and receives a second reflection of the second signal from a second object during a fourth duration. The system calculates a position of the first object and the second object based on the first reflection and the second reflection. The first signal, first duration, and second duration are configured to detect reflections from objects within a first distance of the system. The second signal, third duration, and fourth duration are configured to detect reflections from objects between the first distance and a second distance from the system.

Abstract: The present disclosure relates to a target following method, device, apparatus and system. The method includes: acquiring first orientation data sent by a UWB base station arranged on a target following apparatus and a following mode sent by a UWB beacon arranged on a target to be followed; processing, based on the following mode, the first orientation data to obtain second orientation data including a current distance between a target position and the UWB base station, and a second azimuth angle of a line where the target position and the UWB base station are located with respect to a current direction of a movement of the target following apparatus; and comparing the second orientation data with preset orientation data to obtain a comparison result, and controlling the target following apparatus to perform target following according to the comparison result.

Abstract: A system includes a transmitter of a radar system to transmit transmitted signals, and a receiver of the radar system to receive received signals based on reflection of one or more of the transmitted signals by one or more objects. The system also includes a processor to train a neural network with reference data obtained by simulating a higher resolution radar system than the radar system to obtain a trained neural network. The trained neural network enhances detection of the one or more objects based on obtaining and processing the received signals in a vehicle. One or more operations of the vehicle are controlled based on the detection of the one or more objects.

Abstract: Provided is a radar device, wherein a transmission array antenna includes a plurality of transmission antennas that are linearly disposed in a first direction, the intervals between respective adjacent transmission antennas of the plurality of transmission antennas increase from one side toward the other side in the first direction, a reception array antenna includes a plurality of reception antennas that are linearly disposed in the first direction, and the intervals between respective adjacent transmission antennas of the plurality of reception antennas decrease from one side toward the other side.

Abstract: A high angular resolution processing method for MIMO system applies a symmetric array antenna for receiving an input signal matrix. The input signal matrix is a transmission signal or reflex signal of at least one target object. The method includes following steps. Step S1: outputting a conversion matrix according to an amount of the symmetric array antenna; step S2: performing a real number conversion using the input signal matrix and a plurality of angle-related pursuit matrixes through the conversion matrix, obtaining a real number input signal matrix and real number pursuit matrixes; and step S3: inputting the real number input signal matrix and the real number pursuit matrixes to an orthogonal matching pursuit model. Obtaining an amount of the target object and an angle of a location corresponding to the target object.

Abstract: There is described a vehicle target for testing sensors of vehicle driver assistant systems. The vehicle target comprises an outer skin defining the outer geometry of the vehicle target, wherein the outer skin at least partially surrounds an inner volume. The vehicle target further comprises at least one panel comprising a basic body and a radar absorbing or reflecting layer attached to the basic body, wherein the panel is mounted to the outer skin such that at least the radar absorbing or reflecting material/layer has an offset with respect to the outer skin in the direction to the inner volume.

Abstract: In implementations of systems for estimating three-dimensional trajectories of physical objects, a computing device implements a three-dimensional trajectory system to receive radar data describing millimeter wavelength radio waves directed within a physical environment using beamforming and reflected from physical objects in the physical environment. The three-dimensional trajectory system generates a cloud of three-dimensional points based on the radar, each of the three-dimensional points corresponds to a reflected millimeter wavelength radio wave within a sliding temporal window. The three-dimensional points are grouped into at least one group based on Euclidean distances between the three-dimensional points within the cloud. The three-dimensional trajectory system generates an indication of a three-dimensional trajectory of a physical object corresponding to the at least one group using a Kalman filter to track a position and a velocity a centroid of the at least one group in three-dimensions.

Abstract: Disclosed are systems and methods for a power management framework that can computationally minimize the power consumption of a device with Real-Time Kinematic (RTK) enabled. The disclosed framework can analyze the operating characteristics of a device (e.g., applications executing, movement, battery level, signal strength and current battery consumption of the device, and the like), which can provide an indication of the device's need for updated location information, and determine a frequency for updating RTK. Thus, the disclosed framework provides computerized mechanisms for the automatic optimization between the need for an RTK power update and the device's capabilities for actually performing the update.

Abstract: Radar frequency range signals (e.g., 1 to 100 gigahertz) are often generated by upconverting a reference frequency to a transmission frequency, and a received signal may be downconverted to analyze information encoded on the transmission via modulation. Modulation may be achieved via a fractional frequency divider in a phase-locked loop, but fractional spurs may reduce the signal-to-noise ratio. Additionally, the ramp slope may vary due to phase-locked loop momentum. Instead, a clock generator may generate clock signals for a digital front end comprising a digital signal modulator that generates modulated digital values comprising quadrature representations of a radar modulation signal, which are encoded by a radiofrequency digital-to-analog converter (RF-DAC). The RF-DAC analog signal may be upconverted to a radar frequency and transmitted. A receiver may receive, downconvert, and analyze a reflection of the radar transmission, e.g.

Abstract: An impedance matching film 10 includes a metallic element and a non-metallic element. The impedance matching film 10 has a thickness of 10 to 200 nm. The impedance matching film 10 has a sheet resistance of 200 ?/? or more. In the impedance matching film 10, the content of an oxygen atom is less than 50% in terms of the number of atoms.

Abstract: Determining alignment and clear line-of-sight (LOS) of a satellite antenna using sensor data from an LOS sensor of the satellite antenna. Described techniques include storing first sensor data captured by the LOS sensor at a first time, the first sensor data indicating a first LOS condition of the satellite antenna corresponding to the satellite antenna having a beam LOS with a satellite of the satellite communication system that is aligned and unobstructed. The techniques may include receiving second sensor data captured by the LOS sensor at a second time after the first time, the second sensor data indicating a second LOS condition of the satellite antenna. The techniques may include determining an LOS condition change for the satellite antenna between the first time and the second time based on a comparison of the second sensor data with the first sensor data.

Abstract: A frequency modulated continuous wave (FMCW) radar system is provided that includes a receiver configured to generate a digital intermediate frequency (IF) signal, and an interference monitoring component coupled to the receiver to receive the digital IF signal, in which the interference monitoring component is configured to monitor at least one sub-band in the digital IF signal for interference, in which the at least one sub-band does not include a radar signal.

Abstract: Disclosed is a method for resetting the estimated position of a vehicle, including: —a step of receiving by a RADAR system a real RADAR image, —a step of acquiring an estimated position of the vehicle, —a step of calculating by a computer equipping the vehicle a simulated RADAR image, as a function of the estimated position of the vehicle and of a cartographic model of the environment of the vehicle, —a step of comparing the real RADAR image and the simulated RADAR image, and —a step of correcting the estimated position of the vehicle as a function of the result of the comparison.

Abstract: The embodiment of the present disclosure provides a deep neural network (DNN)-based multi-target constant false alarm rate (CFAR) detection method. The method includes: obtaining target values to be measured based on radar IF (IF) signals to be detected, the target values to be measured including a measured frequency value and a measured intensity value of the radar IF signals; obtaining peak sequences based on the target values to be measured; generating a target detection result by processing the peak sequences based on a DNN detector, the DNN detector being a machine learning model; generating approximated maximum likelihood estimation (AMLE) of a scale parameter based on an approximated maximum likelihood estimator; generating a false alarm adjustment threshold based on a preset false alarm rate and the AMLE; and generating a constant false alarm detection result by processing the target detection result based on the false alarm adjustment threshold.

Abstract: This invention describes a Spatial Intelligence System that provide radio positioning/navigation with additional spatial data in support of automation, machine learning and inference-based systems. More specifically and in particular, the present invention, is such a radio positioning/navigation system that integrates, correlates with or obviates the need of the global navigation satellite systems (GNSS) with a Pulsed Wireless Location System (PWLS) to provide positioning/navigation/timing data either within a line-of-sight barrier using an ad-hoc coordinate system, a direct line of sight of GNSS beacon geographic coordinate system or a ad-hoc translation to geographic coordinate system. The system generically offers the ability to use a low cost tag or location device with anchor processing or a higher cost, higher capability tag or location device with local processing simultaneously.

Abstract: An integrated circuit (IC) is provided with a plurality of diode based mm-wave peak voltage detectors (PVD)s. During a testing phase, a multi-point low frequency calibration test is performed on one or more of the PVDs to determine and store a set of alternating current (AC) coefficients. During operation of the IC, a current-voltage sweep is performed on a selected one of the PVDs to determine a process and temperature direct current (DC) coefficient. A peak voltage produced by the PVD in response to a high frequency radio frequency (RF) signal is measured to produce a first measured voltage. An approximate power of the RF signal is calculated by adjusting the first measured voltage using the DC coefficient and the AC coefficient.