Abstract: A radar system for use in a vehicle may include a radar transmitter structured to transmit a radar signal having a waveform; and a controller operably connected to the radar transmitter and configured to control the waveform. The waveform may be characterized by a waveform parameter. The controller may be configured to set a value of the waveform parameter based on a present operational state of the vehicle, thereby generating an updated waveform. The radar transmitter may be structured to transmit an updated radar signal having the updated waveform.

Abstract: A method and system include transmitting transmit signals from a radar system. The transmit signals are linear frequency modulated continuous wave signals. The method includes receiving reflected signals at the radar system based on reflection of at least at subset of the transmit signals by one or more objects. A range from the radar system associated with each of the reflected signals corresponds with a frequency of the reflected signal. The reflected signals are processed to identify and locate the one or more objects. Processing includes applying an adaptive range-selective gain control (ARSGC) to control a gain corresponding with each of the reflected signals based on the range associated with the reflected signal.

Abstract: A hyperbolic waveform multiple-input multiple-output radar includes a generator circuit, multiple transmit circuits, a multiple-input multiple-output antenna, and multiple receive circuits. The generator circuit may be operable to generate a linear frequency modulated signal and a hyperbolic frequency modulated signal. The transmit circuits may be operable to generate multiple transmit signals by analog mixing the linear frequency modulated signal and the hyperbolic frequency modulated signal in response to a plurality of coding family parameters, wherein the transmit signals define an orthogonal family of waveforms. The multiple-input multiple-output antenna may be operable to transmit the transmit signals toward an object and receive multiple receive signals from the object. The receive circuits may be operable to determine multiple data signals in response to the receive signals, wherein the data signals are suitable to determine a distance between the multiple-input multiple-output antenna and the object.

Abstract: The present application relates to a method and apparatus for implementing a radar array including a gate bias source for providing a first variable voltage, a back gate well control for providing a second variable voltage, and a field effect transistor having a drain, a source, a gate and a back gate well control, the field effect transistor being further configured to couple an alternating current radar signal between the drain and the source and to adjust a phase of the alternating current radar in response to first variable voltage applied to the gate and the second variable voltage applied to the back gate well control.

Abstract: A radar system includes a transmit section to emit a transmit signal. A chip-based front-end portion of the transmit section increases a frequency of an input signal to produce an intermediate signal and amplifies signal strength of the intermediate signal to produce the transmit signal. The frequency of the input signal is in a range of 76 gigahertz (GHz) to 80 GHz. The radar system also includes a receive section to receive a reflected signal resulting from reflection of the transmit signal by an object.

Abstract: An on-vehicle radar system is described, and includes a phased array antenna including a plurality of transmit antennas, and a corresponding plurality of transmitters, wherein each of the transmitters is in communication with a respective one of the transmit antennas. A controller is operatively connected to each of the plurality of transmitters. The controller includes an instruction set that is executable to generate a plurality of Non-Linear Frequency Modulated (NLFM) radar signals corresponding to individual ones of the plurality of transmitters. Each of the NLFM radar signals that is generated for a respective one of the transmitters is determined based upon a desired beam steering angle and a position of the respective one of the transmit antennas of the phased array antenna.

Abstract: A vehicle, radar system of the vehicle and method of operating the vehicle. A transmit antenna transmits a radio wave and a plurality of receive antennae receive echo radio waves from an object receptive to the transmitted radio wave, wherein the echo radio waves includes short-range interference. A processor generates a plurality of radar data arrays for the return signals, wherein each radar data array represents the return signal received at a corresponding receiver antennae, estimates an amount of short-range interference present in the return signal of each radar data array, subtracts the estimate of short-range interference from each of the radar data array to obtain a plurality of clutter-free radar data arrays, and detects the object using at least the plurality of clutter-free radar data arrays. A navigation system navigates the vehicle based on the detection of the object.

Abstract: A vehicle, radar system of a vehicle and method of extending a range of the radar system. The radar system includes a transmitter antenna, a receiver antenna and a processor. The transmitter antenna transmits a reference signal. The receiver antenna receives an echo signal in response to reflection of the reference signal from an object located at a distance outside of the range limit of the radar system, wherein the range limit indicating a frequency sampling range. The processor generates a frequency peak for the object from the received echo signal, wherein the frequency peak lies outside of the frequency sampling range, shifts the frequency peak to within the frequency sampling range, and determines a range of the object using the frequency-shifted peak.

Abstract: A system and method to detect a target with a radar system of a vehicle involve transmitting two or more chirps, in turn, from two or more transmit elements. Each chirp is a continuous wave liner frequency modulated waveform. The method also includes receiving reflections generated by each of the two or more chirps from each of the two or more transmit elements at two or more receive elements, and processing the reflections based on a Doppler sampling frequency corresponding with a period of each of the two or more chirps to determine velocity of each detected target relative to the vehicle.

Abstract: A system and method to resolve ambiguity in a radar system involve detecting one or more objects with the radar system. The detecting includes obtaining range, azimuth, and an ambiguous range rate of a first object of the one or more objects. A plurality of Kalman filters are generated with state variables that include parameters based on the range, the azimuth, and the ambiguous range rate. Each of the plurality of Kalman filters provides a different estimate for an unambiguous range rate. The method also includes updating the plurality of Kalman filters using additional detections by the radar system, selecting a selected Kalman filter from among the plurality of Kalman filters that exhibits a highest probability mass among a plurality of probability mass corresponding with and derived from the plurality of Kalman filters, and determining the unambiguous range rate of the object using the selected Kalman filter.

Abstract: A vehicle, system for navigating the vehicle and method of operating the vehicle. The system includes a radar system and a processor. The radar system transmits a linear frequency modulated signal into an environment of the vehicle and receives a reflection of the linear frequency modulated signal from an object in the environment. The processor partitions the reflection into a plurality of streams to obtain a Doppler frequency that exceeds a maximum Doppler frequency of the radar.

Abstract: A vehicle, radar system for the vehicle and method of operating the vehicle is disclosed. The radar system includes a transmitter, a receiver and a processor. The transmitter transmits a source signal into a region proximate the vehicle. The receiver receives a reflected signal formed by reflection of the source signal from an object in the region. The processor obtains non-linear terms of a phase from the reflected signal and resolves a Doppler ambiguity of the object using the non-linear terms. A navigation system navigates the vehicle with respect to the object based on the resolved Doppler ambiguity.

Abstract: A vehicle, radar system and method of detecting an object is disclosed. The radar system includes plurality of sensors a plurality of sensors, wherein a field of view of one of the plurality of sensors overlaps a field of view of at least another of the plurality of sensors at a region, and a processor. The processor is receives from the plurality of sensors a detection from the region, the detection related to an object, determines an overlap value for the region, adjusts a density parameter of a clustering criterion based on the overlap value, and determines a valid clustering of the detection with a neighboring detection using the adjusted density parameter.

Abstract: A vehicle, radar system and method of determining an angle of arrival of an object is disclosed. A radar array generates a linear frequency modulated source signal and includes a first channel and a second channel for receiving a reflection of the source signal from the object. A processor obtains a channel response for the first radar channel and for the second radar channel over a bandwidth of the source signal, partitions the frequency band into a plurality of frequency sub-bands, determines a variation between the first and second channel responses for a selected frequency sub-band, receives a reflection of the source signal at the first channel and at the second channel, corrects at least the second channel within the frequency sub-band using the determined variation, and determines an angle of arrival for the object based on the correction within the frequency sub-band.

Abstract: System and method of controlling operation of a device in real-time. The system includes an optical sensor having a steerable optical field of view for obtaining image data and a radar unit having a steerable radar field of view for obtaining radar data. A controller may be configured to steer a first one of the optical sensor and the radar unit to a first region of interest and a second one of the optical sensor and the radar unit to the second region of interest. The controller may be configured to steer both the optical sensor and the radar unit to the first region of interest. The radar data and the image data are fused to obtain a target location and a target velocity. The controller is configured to control operation of the device based in part on at least one of the target location and the target velocity.

Abstract: A radar system with frequency conversion includes a signal generator configured to generate an input signal at a first frequency. A transmitting interposer is configured to receive the input signal from the signal generator. The transmitting interposer includes a transmitting front-end module configured to upconvert the input signal at the first frequency to an outgoing radar signal at a second frequency greater than the first frequency, and a transmitting antenna module having a plurality of transmitting patches configured to radiate the outgoing radar signal. A receiving interposer is configured to transmit an output signal to the signal generator. The receiving interposer includes a receiving antenna module having a plurality of receiving patches configured to capture an incoming radar signal at the second frequency, and a receiving front-end module configured to downconvert the incoming radar signal at the second frequency to the output signal at the first frequency.

Abstract: Deep learning in a radar system includes obtaining unaliased time samples from a first radar system. A method includes under-sampling the un-aliased time samples to obtain aliased time samples of a first configuration, matched filtering the un-aliased time samples to obtain an un-aliased data cube and the aliased time samples to obtain an aliased data cube, and using a first neural network to obtain a de-aliased data cube. A first neural network is trained to obtain a trained first neural network. The under-sampling of the un-aliased time samples is repeated to obtain second aliased time samples of a second configuration. The method includes training a second neural network to obtain a trained second neural network, comparing results to choose a selected neural network corresponding with a selected configuration, and using the selected neural network with a second radar system that has the selected configuration to detect one or more objects.

Abstract: A system and method to generate a family of orthogonal signals for a code division multiple access (CDMA) radar system involve selecting a first signal of the family of orthogonal signals for transmission by one of a plurality of transmitters of the radar system. The method includes using an algorithm to determine a second signal of the family of orthogonal signals. The algorithm uses cross-correlation values between candidate signals for consideration as the second signal of the family of orthogonal signals and the first signal. The method also includes transmitting the first signal of the family of orthogonal signals and the second signal of the family of orthogonal signals simultaneously from two different transmitters, and obtaining and processing reflections resulting from transmission of the first signal of the family of orthogonal signals and the second signal of the family of orthogonal signals.

Abstract: A radar system includes one or more antennas to emit transmit signals and receive reflected signals resulting from reflection of the transmit signals by an object. The transmit signals are linear frequency modulated continuous wave (LFMCW) signals. The radar system also includes a transmission generator to generate the transmit signals. The transmission generator includes a controller to control output of a first of the transmit signals and a second of the transmit signals in succession. A time between transmission of the first of the transmit signals and the second of the transmit signals is less than a duration of a stabilization period of a first oscillator used to generate the first of the transmit signals.

Abstract: A system and method to use deep learning for super resolution in a radar system include obtaining first-resolution time samples from reflections based on transmissions by a first-resolution radar system of multiple frequency-modulated signals. The first-resolution radar system includes multiple transmit elements and multiple receive elements. The method also includes reducing resolution of the first-resolution time samples to obtain second-resolution time samples, implementing a matched filter on the first-resolution time samples to obtain a first-resolution data cube and on the second-resolution time samples to obtain a second-resolution data cube, processing the second-resolution data cube with a neural network to obtain a third-resolution data cube, and training the neural network based on a first loss obtained by comparing the first-resolution data cube with the third-resolution data cube. The neural network is used with a second-resolution radar system to detect one or more objects.