Abstract: A radar system and control method thereof is disclosed. The radar system comprises a plurality of radar units, each comprising: one or more radio frequency (RF) channels configured to receive a reflected signal and then generate an analog input signal according to the reflected signal; and a processing module connected with all the RF channels and configured to sample the analog input signal to obtain a digital signal and perform the first digital signal processing on the digital signal to obtain intermediate data, wherein when the plurality of radar units work jointly, a designated radar unit performs the second digital signal processing on the plurality of intermediate data provided by the plurality of radar units, thereby obtaining result data of the radar system.

Abstract: For some embodiments of the present disclosure, systems and methods for using computer vision to guide processing of receive responses of RADAR sensors of a vehicle are described. A computer implemented method comprises receiving, with one or more receivers of RADAR sensors, environment receive RF responses, receiving region of interest (ROI) information including segments of a tentative set of ROIs with free space area boundaries from an image processor of an image processing chain for the computer vision, dynamically determining a number of polyphase filters based on a number of ROIs having dynamic scenes that are provided by the image processing chain, and adjusting parameters of the polyphase filters of a RADAR processing chain based on the ROI information.

Abstract: A wall shape measurement device includes a wall distance acquisition part, a wall shape calculation part, a sudden change determination part, and an extrapolation part. The wall distance acquisition part repeatedly determines whether a wall-like object installed along the road is detected, and acquires, in response to the wall-like object being detected, a wall distance value indicating the distance to the wall-like object. The wall shape calculation part calculates a plurality of wall shape values using the traveling track of the vehicle and a plurality of past wall distance values. The sudden change determination part determines whether the wall distance value is suddenly changed, based on a preset sudden change determination condition. In response to the wall distance value being suddenly changed, the extrapolation part extrapolates wall shape values after it is determined that the wall distance value is suddenly changed.

Abstract: Various embodiments of the present technology relate to synthetic aperture radar image capturing and scene reconstruction using a cluster of multi-static satellite receivers. More specifically, in some embodiments, the cluster of receivers retrieves a flight path over a communication network. Flying in-formation, a lead or main satellite sends radio or wave pulses to a target area and additional satellites capture an echo of the wave pulses after the waves bounce off the target area to capture SAR radar data. The radar data can be transmitted from the cluster of satellites to a radar stations or to the main satellite. The radar stations or the main satellite receive the SAR radar data and mapping to reconstruct the data as SAR image data that can be reconstructed as 2D or 3D landscapes and scenes using the SAR image data.

Abstract: A sensor shield for protecting a sensor having an input surface on a vehicle with a controlling computer and on the vehicle, the sensor shield comprises a sensor-maintenance unit operatively attached to the sensor input surface. Shield implementation devices, each having a bottom surface, are oppositely disposed adjacent the sensor. A shield source is located adjacent the bottom surfaces of the shield implementation devices, and has a surface that covers the input surface of the sensor.

Abstract: A stationary radar device, which apart from a plurality of stationary receiving antennae, includes a plurality of stationary transmitting antennae for emitting primary radio waves. A frequency-modulated emitting signal is generated in two sequences. During the first sequences a plurality of successive first chirps are emitted by one of the transmitting antennae. A Doppler shift or a speed is computed from the temporal development of the respective first receiving signals. The second sequences are intermitted with the first sequences and each include one or more second chirps, wherein the second chirps are produced from different transmitting antennae. The second receiving signals which are effected by the second chirps are evaluated, in order by way of correlation of receiving signals that originate from second chips, which come from different transmitting antennae, to obtain a phase picture that is resolved in the azimuth.

Abstract: A frequency modulated continuous wave (FMCW) radar device and a signal processing method thereof are provided. The frequency modulated continuous wave radar device includes a transmitter stage circuit, a frequency synthesizer, a receiver stage circuit, a pre-stage circuit, and a signal processing circuit. The transmitter stage circuit transmits a transmitting signal. The frequency synthesizer generates the transmitting signal associated with a chirp period. The receiver stage circuit receives a receiving signal including a periodic interference signal with a noise period associated with the chirp period. The pre-stage circuit outputs a to-be-processed signal including multiple frames according to the receiving signal and the transmitting signal. The signal processing circuit groups the frames into multiple frame groups. The signal processing circuit generates a processed signal by sampling at least one frame from the multiple frames in each of the frame groups with an identical sampling rule.

Abstract: A sensor faucet includes a control assembly, a proximity sensor and a processing unit. The proximity sensor is configured to radiate a radio wave, receive a reflected radio wave, and output a sensing signal according to the reflected radio wave. The processing unit is electrically connected to the proximity sensor and a solenoid valve, and is configured to output a control signal according to the sensing signal. The sensor faucet is configured to perform: determining whether a voltage in response to the reflected radio wave in a second continuous number satisfies a predetermined condition when a first continuous number of the reflected radio wave exceeds a first threshold, operating the solenoid valve if the predetermined condition is not satisfied, continuously determining whether the second continuous number of the reflected radio wave exceeds a second threshold, and determining to output a sleep signal or a second control signal.

Abstract: An object detection method performed by a movable device is provided. The object detection method includes emitting radio frequency signals, receiving radio frequency signals reflected by an object, obtaining N sample sequences by digitizing N radio frequency signals, N being a natural number greater than or equal to 2, from among the received radio frequency signals, obtaining a matrix including each of the N sample sequences as a column, in an order in which the radio frequency signals are received, obtaining a resulting signal by summing samples for each row of the matrix and obtaining an energy value from the resulting signal, and detecting the object based on the obtained energy value being greater than or equal to a certain threshold value.

Abstract: A method and structure for solving a Doppler ambiguity problem in a time-division-multiplexed (TDM) frequency modulated continuous wave (FMCW) radar apparatus are proposed. In a frame of a waveform signal transmitted by one transmitting antenna in the TDM FMCW radar apparatus, at least three consecutive chirps having different periods are included for each chirp loop. A Doppler frequency may be determined from phase difference values between the three consecutive chirps measured from an FMCW radar signal received at a receiving antenna. The at least three consecutive chirps having different periods are configured to differ in at least one of an idle time between the chirps or a ramp time of the chirp.

Abstract: Provided are a scattering aperture imaging method and a device, a system and a storage medium. The method mainly includes four steps of scattering point position estimation, azimuth resampling, range compensation and synthetic aperture radar imaging. A phased array radar with a fixed position is used for NLOS imaging, and the radar can control a beam to scan in space, which is equivalent to a scattering aperture moving along a relay surface. Therefore, the method can realize converting NLOS imaging into LOS synthetic aperture radar imaging, which can be suitable for the situation that a relay surface is rough and the relay surface with more complicated surface condition, thus widening the application range of radar NLOS imaging.

Abstract: A signal isolation device includes an insulation layer, at least one metal foil unit, and a metal layer. The at least one metal foil unit is disposed on a top surface of the insulation layer, and the metal foil unit has a first recessed channel and a second recessed channel. The first recessed channel and the second recessed channel spirally extend inward from an edge of the metal foil unit, and the first recessed channel and the second recessed channel surrounding each other are spaced apart. The metal layer is disposed on a bottom surface of the insulation layer.

Abstract: According to various embodiments, a radar system is described including a direction of arrival pre-processor configured to, for a detected peak, obtain a Doppler Fourier transform result vector, generate a spatial covariance matrix for the Doppler Fourier transform result vector, and generate an additional spatial covariance matrix by inputting the spatial covariance matrix to a machine learning model trained to predict, from an input spatial covariance matrix, an output spatial covariance matrix such that the output spatial covariance matrix corresponds to a different chirp center frequency than the input covariance spatial covariance matrix and including a direction of arrival estimator configured to perform direction-of-arrival estimation using the additional spatial covariance matrix.

Abstract: In one example method, a signal transmitted from an endpoint device is received at a first satellite and at one or more second satellites. The first satellite determines a first estimated position of the endpoint, an estimated position of the first satellite, and estimated frequencies and phases of one or more symbols transmitted in the signal. The first satellite then transmits this information to the one or more second satellites. The one or more second satellites use the information received from the first satellite to determine one or more estimated time differences of arrival between the signal arriving at the first satellite and the signal arriving at the one or more second satellites. The one or more second satellites then determine a second estimated position of the endpoint using the one or more estimated time differences of arrival.

Abstract: Methods and apparatus disclosed within provide a solution to problems associated with the use of either high frequency or low frequency radar signals. Methods of the present disclosure may transmit high frequency radar signals, transmit low frequency radar signals, receive reflected radar signals, and process the received radar signals using parameters respectively suited for processing high frequency and low frequency radar signals. Evaluations may be performed that allow an apparatus to adapt for limitations associated with the processing of high frequency radar data, the processing of low frequency radar data, or both. Different correlation functions may be performed that allow the apparatus to identify objects and to identify object velocities using different sets of program code instructions. These different evaluations and correlations may result in the generation of a set of “point-cloud” information that may be used by other processes of a sensing apparatus.

Abstract: Example embodiments relate to radar image video compression techniques using per-pixel Doppler measurements, which can involve initially receiving radar data from a radar unit to generate a radar representation that represents surfaces in the environment. Based on Doppler scores in the radar representation, a range rate can be determined for each pixel that indicates a radial direction motion for a surface represented by the pixel. The range rates and backscatter values can then be used to estimate a radar representation prediction for subsequent radar data received from the radar unit, which enables a generation of a compressed radar data file that represents the difference between the radar representation prediction and the actual representation determined for the subsequent radar data. The compressed radar data file can be stored in memory, transmitted to other devices, and decompressed and used to train models via machine learning.

Abstract: A radar sensor assembly includes a sensor printed circuit board (PCB) having a first side and a second side opposite the first side. A radar transceiver is disposed at the first side of the sensor PCB and includes a plurality of antennas configured for transmitting and receiving radio frequency (RF) radiation. A heat sink is disposed adjacent to the radar transceiver and is configured to dissipate heat from the radar transceiver. The radar transceiver is sandwiched between the heat sink and the sensor PCB. The heat sink is configured to allow the RF radiation to pass therethrough without guiding the RF radiation.

Abstract: A sensor includes: a living body component extractor that receives a signal transmitted from each transmitting station and influenced by a living body, and extracts a signal component influenced by the living body; a position spectrum function calculator that calculates as many position spectrum functions as the number of combinations of transmitting stations and receiving stations, the position spectrum functions each being calculated from the signal component and corresponding to a likelihood of a position of the living body; a weight function calculator that calculates as many weight functions as the number of combinations, the weight functions each representing reliability of a position spectrum function; an integrated position spectrum function calculator that outputs an integrated position spectrum function using the position spectrum functions and the weight functions; and a position estimator that estimates the position of the living body by detecting a maximum value from the integrated position spect

Abstract: A computer implemented method for predicting a trajectory of an object comprises the following steps carried out by computer hardware components: acquiring radar data of the object; determining first intermediate data based on the radar data based on a residual backbone using a recurrent component; determining second intermediate data based on the first intermediate data using a feature pyramid; and predicting the trajectory of the object based on the second intermediate data.

Abstract: A maneuverable jamming grid array and methods of use thereof, that generally a portable grid array having a plurality of power supplies and a plurality of charging capacitors, an array of optical/RF module emitters configured on the grid array, in electrical communication with the power supplies and the plurality of charging capacitors, a control and communications module in electrical communication with the array of optical/RF module emitters, at least one array lifting and maneuvering drone connected to the grid array; and at least one array lifting balloon connected to said grid array, and thus to facilitate a positionable antiaircraft defense system.