Abstract: A radar system mounted on a platform includes a transmitter turned off during a silent interval, and a receiver to receive one or more signals resulting from transmission by one or more other radars that transmit linear frequency modulated signals during the silent interval. A processor estimates parameters of the one or more other radars. The parameters include bandwidth and slope of the respective linear frequency modulated signal and the parameters are used to modify a transmitted signal or the processing by the radar system.

Abstract: A multi-input multi-output (MIMO) radar system and method of performing low-latency decoding in a MIMO radar system. The method includes transmitting a different linear frequency-modulated continuous wave (LFM-CW) transmit signal from each of N transmit elements of the MIMO radar system, each transmit signal associated with teach of the N transmit elements including a respective code, and receiving reflections associated with each of the transmit signals from each of the N transmit elements at each receive element of the MIMO radar system. Processing each symbol corresponding with each received reflection on a symbol-by-symbol basis is done to obtain a respective decoded signal prior to receiving all the received reflections associated with all the N transmit elements, wherein the processing includes using a Hadamard matrix with N columns in which each column is associated with the respective code transmitted by each of the N transmit elements.

Abstract: A control system and method dynamically adjust radar parameters of a radar system on a platform. The method includes obtaining inputs including platform parameters, wherein the platform parameters includes speed and braking duration, and obtaining a characterization of driving behavior based on the inputs. Modifying the radar parameters is based on the inputs and the characterization, wherein the modifying includes changing a maximum range, and providing alerts to a driver of the platform is based on the radar system.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals. A plurality of antennas or arrays are configured to operate at a common frequency and a method and system for generating random frame intervals and receiving the radar signals in response to the random frame intervals.

Abstract: A system and method to perform target detection includes transmitting frequency modulated continuous wave (FMCW) pulses as chirps from a radar system. The method also includes receiving reflections resulting from the chirps, and processing the reflections to obtain a range-chirp map for each beam associated with the transmitting. Curve detection is performed on the range-chirp map for each beam, and one or more targets is detected based on the curve detection.

Abstract: A radar system for a ground vehicle includes a MIMO system including a plurality of transmitters, a plurality of receivers, and a controller including an interpreter in communication with the plurality of transmitters and the plurality of receivers. The transmitters include a first transmitter and a plurality of second transmitters, and each of the transmitters includes a signal generator in communication with a transmitting antenna that is disposed to transmit a radar signal. Each of the radar signals is a linear-frequency-modulated continuous-wave (LFM-CW) radar signal including a chirp-start portion, and each of the receivers includes a receiving antenna that is disposed to receive reflected radar signals. The transmitters are controllable such that the chirp-start portions of the LFM-CW radar signals from the second transmitters have progressively increasing time delays as compared to the chirp-start portion of the LFM-CW radar signal from the first transmitter.

Abstract: A method and system to estimate a velocity of a target use a radar to transmit a linear frequency modulated chirp from each of a plurality of transmit elements and receive resulting reflections. The system also includes a processor to process the reflections resulting from a frame of chirps at a time and compute the velocity based on determining a number of the frames of chirps for the target to move a specified distance. The processor processes the reflections by performing a range fast Fourier transform (FFT) such that the specified distance is a range spanned by a range bin and each frame of chirps is one transmission of the chirp by each of the plurality of transmit elements.

Abstract: A system and method to perform a three-dimensional alignment of a radar and a camera with an area of overlapping fields of view position a corner reflector within the area. The method includes obtaining sensor data for the corner reflector with the radar and the camera, and iteratively repositioning the corner reflector within the area and repeating the obtaining the sensor data. A rotation matrix and a translation vector are determined that align the radar and the camera such that a three-dimensional detection by the radar projects to a location on a two-dimensional image obtained by the camera according to the rotation matrix and the translation vector.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals. The system and method are operative to correct an expected transmission angle of a vehicular radar in response to a Doppler shift and a road surface measurement.

Abstract: Methods and systems are provided for controlling a radar system of a vehicle. One or more transmitters are configured to transmit radar signals. A plurality of antennas or arrays are configured to operate at a common frequency and a method and system for detecting mutual interference and for resetting the system in response to the mutual interference.

Abstract: A system and method to fuse a radar system and a vision sensor system include obtaining radar reflections resulting from transmissions of radio frequency (RF) energy. The method includes obtaining image frames from one or more vision sensor systems, and generating region of interest (ROI) proposals based on the radar reflections and the image frames. Information is provided about objects detected based on the ROI proposals.

Abstract: A system and method to perform two-stage beamforming in a radar system includes obtaining an incoming signal vector x associated with a detected target. The method also includes performing coarse beamforming with a first set of k1 azimuthal angle ?i and elevation angle ?i combinations associated with each element of the vector, and selecting a selected area in an azimuth-elevation plane around a subset of the k1 azimuthal angle ?i and elevation angle ?i combinations for each element of the vector. Fine beamforming is performed in the selected area with a second set of k2 azimuthal angle ?i and elevation angle ?i combinations associated with each element of the vector. The second set of k2 azimuthal angle ?i and elevation angle ?i combinations is more closely spaced in the azimuth-elevation plane than the first set of k1 azimuthal angle ?i and elevation angle ?i combinations.

Abstract: A method and apparatus for determining a distance between a first radar system disposed on a vehicle and a second radar system disposed on the vehicle. A target reflector is moved along a track to a location along a perpendicular bisector of a baseline connecting the first radar system and the second radar system. A direct range measurement is obtained for at least one of the first radar system and the second radar system, and a bistatic range measurement is obtained between the first radar system and the second radar system. A processor determines the distance between the first radar system and the second radar system using the direct range measurement, the bistatic range measurement and a radial length of the target reflector.

Abstract: A vehicle, system and method for tracking an object with respect to the vehicle. A radar system receives a first plurality of detections from an object during a first time frame and a second plurality of detection during a second time frame. A region covariance matrix is calculated for a cluster formed from the first plurality of detections. An updated covariance matrix for the cluster is calculated from the region covariance matrix of the first time frame. A region covariance matrix is calculated for each of a plurality of clusters formed from the second plurality of detections. A metric is determined between the updated covariance matrix and each region covariance matrix from the second time frame. The object is tracked by associating the region covariance matrix from the second time frame having the smallest metric to the region covariance matrix of the first time frame.

Abstract: A method and system to obtain a velocity measurement of a target detected by a radar system using an asymmetric Doppler spectrum includes a receive portion of the radar system to receive a reflected signal from the target. A mixer mixes the reflected signal with a shifted signal to obtain a mixed signal. The shifted signal is a shifted version of a transmitted signal that results in the reflected signal and the Doppler spectrum is defined by a frequency shift value of the shifted signal. A processor processes the mixed signal to obtain the velocity measurement.

Abstract: A system and method to perform target tracking with a radar system that uses a Kalman filter include predicting a predicted target position of a target detected by the radar system in a frame. The frame is a period of time to transmit from every transmit element of the radar system in turn and receive the reflections from a range of the target. The method also includes determining an actual target positon of the target detected by the radar system based on reflections received by the radar system for the frame, and computing a process noise covariance matrix Q for a next frame, immediately following the frame, based on the predicted target position and the actual target position. Predicting a position of the target in the next frame is based on the process noise covariance matrix Q.

Abstract: A method and radar system and vehicle that tracks an object is disclosed. A source signal is transmitted into a volume that includes the object. A reflected signal is received from the volume in response to the source signal. The reflected signal includes a reflection of the source signal from the object. A range is determined for the object from the reflected signal. A ground signal is estimated at the determined range and an amount of the ground signal in the reflected signal is estimated. The object is selected for tracking based on the estimate of the amount of the ground signal in the reflection from the object.

Abstract: A method of calibrating a radar system of a vehicle is disclosed. A source signal is transmitted from a transmitter at a target at a selected location from the radar system. An echo signal is received as a reflection of the source signal from the target at an in-phase channel and quadrature channel of a receiver. A range space for the echo signal is obtained that includes a target peak corresponding to the target, wherein the range space includes a ghost peak for the target resulting from an IQ difference between the in-phase and quadrature channels. The IQ difference between the in-phase and quadrature channels is adjusted to reduce an amplitude of the ghost frequency peak.

Abstract: A vehicle, system and method of driving the vehicle. A radar system obtains a measured location of an object in an environment of the vehicle. A processor predicts a location of the object, determines a distance between the predicted location of the object and the measured location of the object, determines a confidence level for the predicted location the object based on the determined distance, selects a tracking state for the object based on the confidence level, and drives the vehicle to avoid the object according to the tracking state of the object. The processor and radar system may be onboard the vehicle.

Abstract: A method and apparatus for calibrating a LiDAR system at a first location with a radar system at a second location. A calibration target is placed at a location and orientation with respect to the LiDAR system and the radar system. Coefficients of a plane of the calibration target are determined in a frame of reference of the LiDAR system. Coordinates of the calibration target are determined in a frame of reference of the radar system. A cost function is composed from a planar equation that includes the determined coefficients and the determined coordinates and a relative pose matrix that transforms the frame of reference of the radar system to the frame of reference of the LiDAR system. The cost function is reduced to estimate the relative pose matrix for calibration of the LiDAR system with the radar system.