Abstract: A vehicle and a system and method of operating the vehicle. The system includes an extended radar array, a processor and a controller. The extended radar array is formed by moving a radar array of the vehicle through a selected distance. The processor is configured to receive a plurality of observations of an object from the extended radar array, operate a neural network to generate a network output signal based on the plurality of observations, and determine an object parameter of the object with respect to the vehicle from the network output signal. The controller operates the vehicle based on the object parameter of the object.

Abstract: A method of designing a radar system includes implementing a supervised learning process of a neural network to determine a weight corresponding with each of a plurality of patch antennas of a radar system. Each of the plurality of patch antennas is sized in accordance with the weight.

Abstract: A method of implementing frequency division multiple access (FDMA) in a radar system of a vehicle includes transmitting a chirp signal from each of a plurality of transmit elements of the radar system simultaneously. The chirp signal transmitted by each of the plurality of transmit elements increases or decreases linearly in frequency over a frequency range over a duration of time and the frequency range of the chirp signal transmitted by adjacent ones of the plurality of transmit elements partially overlapping. The method also includes processing a reflection received based on reflection of the chirp signal transmitted by the plurality of transmit elements by one or more objects and controlling an operation of the vehicle based on locating the one or more objects.

Abstract: Vehicles and methods for tracking an object and controlling a vehicle based on the tracked object. A Radar-Doppler (RD) map is received from the radar sensing system of the vehicle and relative acceleration of an object with respect to the vehicle is detected based on the RD map so as to provide acceleration data. A current frame of detected object data is received from a sensing system of the vehicle. When the relative acceleration has been detected, a tracking algorithm is adapted to reduce the influence of the predictive motion model or the historical state of the object and the object is tracked using the adapted tracking algorithm so as to provide adapted estimated object data based on the object tracking. One or more vehicle actuators are controlled based on the adapted estimated object data.

Abstract: A radar system and method may be based on successively estimating reflection points from strongest to weakest, while adapting a detection threshold in each iteration according to the previous detections and the radar impulse.

Abstract: A method and system involve obtaining reflected signals in a radar system using a first one-dimensional array of antenna elements and a second one-dimensional array of antenna elements. The reflected signals result from reflection of transmitted signals from the radar system by one or more objects. The method includes processing the reflected signals obtained using the first one-dimensional array of antenna elements to obtain a first array of angle of arrival likelihood values in a first plane, and processing the reflected signals obtained using the second one-dimensional array of antenna elements to obtain a second array of angle of arrival likelihood values. A four-dimensional image indicating a range, relative range rate, the first angle of arrival, and the second angle of arrival for each of the one or more objects is obtained.

Abstract: A vehicle, and a system and method for operating the vehicle. The system includes a sensor and a processor. The sensor obtains a detection set related to an object at a range from the vehicle. The processor is configured to select a convolution path for the detection set based on a range of the object, wherein the convolution path includes one or more convolutional layers and a number of the one or more convolutional layers is dependent on the range of the object, apply the one or more convolutional layers of the selected convolution path to the detection set to generate a filtered data set, and operate the vehicle with respect to the object using the filtered data set.

Abstract: Systems and methods include transmitting transmit signals from transmit elements, and receiving reflections resulting from the transmit signals at receive elements. The reflections are processed to obtain range-Doppler maps. Each range-Doppler map corresponds with one combination of the transmit elements and the receive elements. The range-Doppler map includes complex values that indicate intensity over a set of range values and a set of relative velocity values. A synthetic matrix of synthetic vectors of array response combinations is generated for transmit angles and receive angles. Each array response combination is a combination of a transmit response for one of the transmit angles and a receive response for one of the receive angles. Two stages of detection are performed. A first stage identifies potential objects and a second stage eliminates the potential objects that are ghost objects. The potential objects remaining after the second stage are the real objects.

Abstract: Systems and methods involve transmitting both horizontal and vertical polarizations from a radar system. A method includes receiving, using a first antenna of the radar system, first reflected signals with horizontal polarization, and receiving, using a second antenna of the radar system, second reflected signals with vertical polarization. The first reflected signals and the second reflected signals are processed together to obtain one or more angles to respective one or more objects detected by the radar system.

Abstract: Presented are target object detection systems for deriving host vehicle velocities, methods for making/using such systems, and motor vehicles with host vehicle velocity estimation capabilities. A method of automating operation of vehicles includes an electronic transmitter of a vehicle's target object detection system emitting electromagnetic signals, and an electronic receiver receiving multiple reflection echoes caused by each electromagnetic signal reflecting off target objects within proximity of the vehicle. A vehicle controller determines a relative velocity vector for each target object based on these reflection echoes. The relative velocity vectors are assigned to discrete vector clusters. The controller estimates a host vehicle velocity vector as an average of the relative velocity vectors in the vector cluster containing the most relative velocity vectors and having the largest spatial spread.

Abstract: A system and method to eliminate false detections in a radar system involve arranging an array of antenna elements into two or more sub-arrays with a spacing between adjacent ones of the antenna elements of one of the two or more sub-arrays being different than a spacing between adjacent ones of the antenna elements of at least one other of the two or more sub-arrays. The method includes receiving reflected signals at the two or more sub-arrays resulting from transmitting transmit signals from the antenna elements of the two or more sub-arrays, and processing the reflected signals to distinguish an actual angle from the radar system to an object that contributed to the reflected signals from ambiguous angles at which the false detections of the object are obtained. A location of the object is determined as a result of the processing.

Abstract: Systems and methods to identify an object using a radar system involve arranging an array of antenna elements into two or more subarrays with a tilt angle relative to each other. Each of the two or more subarrays includes two or more antenna elements among the array of antenna elements. A method includes receiving reflected signals at each of the two or more subarrays resulting respectively from transmitting transmit signals from the two or more subarrays, and processing the reflected signals at each of the two or more subarrays to obtain an amplitude associated with each azimuth angle in a range of azimuth angles. A location of the object is determined as the azimuth angle in the range of azimuth angles at which the amplitude exceeds a threshold value.

Abstract: A vehicle, radar system of the vehicle and method of determining an elevation of an object. The radar system includes a transmitter that transmits a reference signal and a receiver that to receive at least one echo signal related to reflection of the reference signal from an object. The receiver includes an antenna array having a plurality of horizontally-spaced antenna elements. A processor determines a first uncertainty curve associated with an azimuth measurement related to the at least one echo signal, determines a second uncertainty curve associated with a Doppler measurement and a velocity measurement related to the at least one echo signal, and locates an intersection of the first uncertainty curve and the second uncertainty curve to determine the elevation of the object.

Abstract: A system and method using a multi-node radar system involve receiving reflected signals at each node of the multi-node radar system, the reflected signals resulting from reflection of transmitted signals by one or more objects, and generating velocity lines associated with each of the reflected signals received at each of the nodes, each velocity line being derived from a radial velocity Vr and an angle of arrival ? determined from the reflected signal received at the node. The method also includes determining one or more intersection points of the velocity lines, and estimating a velocity of each of the one or more objects based on the one or more intersection points. Each intersection point corresponds with the velocity for one of the one or more objects and the velocity is a relative velocity vector between the one of the one or more objects and the radar system.

Abstract: Systems and methods include transmitting transmit signals from transmit elements, and receiving reflections resulting from the transmit signals at receive elements. The reflections are processed to obtain range-Doppler maps. Each range-Doppler map corresponds with one combination of the transmit elements and the receive elements. The range-Doppler map includes complex values that indicate intensity over a set of range values and a set of relative velocity values. A synthetic matrix of synthetic vectors of array response combinations is generated for transmit angles and receive angles. Each array response combination is a combination of a transmit response for one of the transmit angles and a receive response for one of the receive angles. Two stages of detection are performed. A first stage identifies potential objects and a second stage eliminates the potential objects that are ghost objects. The potential objects remaining after the second stage are the real objects.

Abstract: Systems and methods include emitting transmit signals from two or more non-coherent radar systems. A method also includes receiving reflected signals at the two or more non-coherent radar systems based respectively on the transmit signals from each of the two or more non-coherent radar systems being reflected by one or more objects. The non-coherent radar systems exhibit an uncorrelated phase relationship in the reflected signals received at each of the two or more non-coherent radar systems. The reflected signals are processed to obtain a joint metric that is used to identify and estimate an angle to each of the one or more objects.

Abstract: A radar system for use in a vehicle moving in a first direction may include a plurality of antenna elements spaced apart in a second direction; and a controller operably connected to the plurality of antenna elements. The controller may be configured record signals received by each antenna element at each time instant of a plurality of time instants; calculate a position in the first direction of each antenna element for each time instant based on a velocity hypothesis; calculate a virtual two-dimensional antenna array response based on the signal received by each antenna element at each time instant and the position in the first direction of each antenna element at each time instant; calculate a beamforming spectrum based on the virtual two-dimensional antenna array response; and identify a peak in the beamforming spectrum to identify an elevation angle from the vehicle to a target relative to the first direction.

Abstract: A radar system includes two or more nodes. Each node includes one or more transmit antennas and one or more receive antennas. The radar system also includes a processor to obtain received signals at each of the two or more nodes, estimate an angle of arrival of each target identified based on the received signals, estimate an offset of each of the two or more nodes from a known location, and compensate for the offsets in the process of estimating the angle of arrival for subsequent targets in the received signals.

Abstract: A vehicle, system and method of estimating a velocity of an object with respect to the vehicle is disclosed. The system includes a plurality of radars associated with the vehicle and a processor. The plurality of radars provide a coarse estimate of the velocity. The processor obtains a plurality of velocity hypotheses based on the coarse estimate of the velocity of the object, determines a likelihood for each of the plurality of velocity hypotheses, and chooses a velocity hypothesis having as the estimate of velocity based on the determined likelihood.

Abstract: Presented are target object detection systems for deriving host vehicle velocities, methods for making/using such systems, and motor vehicles with host vehicle velocity estimation capabilities. A method of automating operation of vehicles includes an electronic transmitter of a vehicle's target object detection system emitting electromagnetic signals, and an electronic receiver receiving multiple reflection echoes caused by each electromagnetic signal reflecting off target objects within proximity of the vehicle. A vehicle controller determines a relative velocity vector for each target object based on these reflection echoes. The relative velocity vectors are assigned to discrete vector clusters. The controller estimates a host vehicle velocity vector as an average of the relative velocity vectors in the vector cluster containing the most relative velocity vectors and having the largest spatial spread.