Abstract: Examples disclosed herein relate to an adaptive radar for near-far target identification. The radar includes an antenna module configured to radiate a transmission signal with an analog beamforming antenna in a plurality of directions using one or more phase control elements in a first radar scan and to generate radar data capturing a surrounding environment. The radar also includes a data pre-preprocessing module configured to receive the radar data and determine adjustments to transceiver parameters in the antenna module for a second radar scan subsequent to the first radar scan based at least on range. The radar also includes a perception module configured to detect and identify a target in the surrounding environment from the radar data. Other examples disclosed herein relate to methods of near-far target identification in a radar.

Abstract: Examples disclosed herein relate to an autonomous driving system in a vehicle having a radar system with a Non-Line-of-Sight (“NLOS”) correction module to correct for NLOS reflections prior to the radar system identifying targets in a path and a surrounding environment of the vehicle, and a sensor fusion module to receive information from the radar system on the identified targets and compare the information received from the radar system to information received from at least one sensor in the vehicle.

Abstract: Examples disclosed herein relate to a Multiple-Input Multiple-Output (MIMO) radar for virtual beam steering. The MIMO radar has a plurality of transmit antennas and a receive antenna array having a plurality of radiating elements. The MIMO radar also includes a digital signal processor (DSP) configured to synthesize a virtual receive array having N×M receive subarrays from the plurality of transmit antennas and the receive antenna array, where N is the number of transmit antennas and M is the number of receiving elements. Other examples disclosed herein relate to a method of virtual beam steering.

Abstract: Examples disclosed herein relate to a radar system for object identification. The radar system transmitting an azimuth fan beam and incrementing elevation of the beam. The radar system may include a transmit antenna and a receive antenna, each having a plurality of antenna elements arranged in rows and columns. The radar system may include a transceiver coupled to the transmit antenna and the receive antenna, the transceiver configured to control transmit beams having an azimuth fan beam, or an elevation fan beam. The radar system may include a processing unit. In various embodiments, the processing unit may include a digital processing unit; a range Doppler mapping module; and an azimuth detection module coupled to the transceiver. The azimuth detection module may be configured to process received signals and identify an azimuth angle of arrival by correlating signals received at antenna elements in rows of the receive antenna.

Abstract: Examples disclosed herein relate to a meta-structure based active reflectarray for passive and active reflection. A control module is coupled to reflection elements to provide energy and change the phase of the elements.

Abstract: Examples disclosed herein relate to a beam steering vehicle radar for object identification. The radar includes a radar module having at least one beam steering transmit antenna to radiate one or more radio frequency (“RF”) beams in a plurality of directions, at least one beam steering receive antenna to receive one or more RF return signals, and a transceiver to generate radar data capturing a surrounding environment from the one or more received RF return signals. The radar also includes a perception module configured to detect and identify an object in the surrounding environment from the radar data. At least one of the beam steering transmit antenna has a side lobe reduction mechanism formed within a substrate to reduce side lobes in the radiated one or more RF beams.

Abstract: Examples disclosed herein relate to a radar system and method of optimizing proximity clustering. The method includes generating radar data from return radio frequency beams with a radar system and detecting objects from the radar data, and generating a three-dimensional pixel map from the radar data including direction of arrival data. The method includes traversing the pixel map to identify other pixels containing detected objects neighboring a subject pixel and determining whether the subject pixel and a neighbor pixel are assigned to clusters. The method includes assigning the neighbor pixel to a same cluster as that of the subject pixel when only the subject pixel is assigned to a cluster, assigning the subject pixel to a same cluster as that of the neighbor pixel when only the neighbor pixel is assigned to a cluster, and merging clusters when the subject pixel and the neighbor pixel are assigned to different clusters.

Abstract: Examples disclosed herein relate to generating continuous visualizations of beam steering vehicle radar scans by acquiring data for a beam steering radar scan, generating a Range Doppler Map (“RDM”) corresponding to the acquired radar data, displaying a visualization of the RDM showing a plurality of identified objects, shifting each identified object by its velocity to generate a shifted RDM, and updating the visualization at a display rate that is higher than a radar scan rate to display continuous movement. The display may be part of an augmented reality system presented to a driver on a windshield or dashboard.

Abstract: Examples disclosed herein relate to a communication system including a transceiver module, a rearrangeable switch network coupled to the transceiver module, a power distribution network coupled to the rearrangeable switch network, and a plurality of Beam Steering Phase Array (“BSPA”) antennas, each coupled to the power distribution network and dynamically controllable to generate beams according to a power regulation requirement for a set of satellites.

Abstract: Examples disclosed herein relate to an antenna calibration method for a beam steering radar. A first set of input voltages is determined for a plurality of phase shifters coupled to a plurality of antenna elements in an antenna array in the beam steering radar, the voltages to control phases of signals for transmission by the antenna array. A first set of input voltages is applied to the antenna array. Radiating signals resulting from the first set of input voltages are measured. Voltage and phase values for the plurality of phase shifters are iteratively optimized to determine voltage and phase value pairs that result in a desired gain for the antenna array. The voltage and phase value pairs are stored in a look-up-table in the beam steering radar.

Abstract: Examples disclosed herein relate to a radar system in an autonomous vehicle. The radar system has a radar module including at least one beam steering antenna and an antenna controller. The radar system also includes a perception module having an object detection module to detect objects in a path and surrounding environment of the autonomous vehicle, and a decision network to determine a control action for the antenna controller to perform based on the detected objects and a control policy.

Abstract: Examples disclosed herein relate to a multi-sensor fusion platform for use in autonomous vehicles, the multi-sensor fusion platform including a camera perception engine having a camera neural network to detect and identify objects in camera data, a lidar perception engine having a lidar neural network to detect and identify objects in lidar data, and a radar perception engine having a radar neural network to detect and identify objects in radar data, such that training of the radar neural network is bootstrapped with the camera and lidar neural networks.

Abstract: Examples disclosed herein relate to reconfigurable circuits and systems for a radar system enabling both short-range and long-range operation. A reconfiguration module enables the various configuration changes for operation. The multi-range operation may be used to adjust transmission parameters of other modules including wireless communications.

Abstract: Examples disclosed herein relate to a sensor fusion scanning system for wireless network planning. The system includes a sensor scanning mobile platform comprising a beam steering radar sensor and one or more auxiliary sensors, the sensor scanning mobile platform configured to scan a wireless environment, a reflectivity engine configured to generate a reflectivity representation of the wireless environment based on radar data from the beam steering radar sensor, a sensor fusion processing engine configured to generate a Three-Dimensional (“3D”) representation of the wireless environment based on the radar data and sensor data from the one or more auxiliary sensors, and a reflectarray planning engine configured to design a plurality of reflectarrays and determine locations for the plurality of reflectarrays in the wireless environment based on the reflectivity representation and the 3D representation.

Abstract: The reflect array system includes a resonant structure formed of an array of resonant cells and for passive reflection of incident signals. The resonant structure generates a radio frequency (“RF”) signal that is shaped and steered by the reflect array.

Abstract: Examples disclosed herein relate to a switched coupled inductance phase shift mechanism for beamsteering an antenna array and applied in a radar system or a communication system. The phase shift mechanism includes a variable inductor element configured to toggle between a first inductance state and a second inductance state in response to a first control bit value, and a plurality of variable capacitor elements coupled to the variable inductor element and configured to toggle between a first capacitance state and a second capacitance state in response to a second control bit value. The variable inductor element and the variable capacitor elements collectively produce a first phase shift using the first inductance and capacitance states, and collectively produce a second phase shift using the second inductance and capacitance states, where a target phase shift is produced from a difference between the first and second phase shifts.

Abstract: A system and method for a vehicle sensor that maps radar detected targets as target alerts overlaid on a display image.

Abstract: Examples disclosed herein relate to a beam steering radar for use in an autonomous vehicle. The beam steering radar has a radar module with at least one beam steering antenna, a transceiver, and a controller that can cause the transceiver to perform, using the at least one beam steering antenna, a first scan of a field-of-view (FoV) with a first number of chirps in a first radio frequency (RF) signal and a second scan of the FoV with a second number of chirps in a second RF signal. The radar module also has a perception module having a machine learning-trained classifier that can detect objects in a path and surrounding environment of the autonomous vehicle based on the first number of chirps in the first RF signal and classify the objects based on the second number of chirps in the second RF signal.

Abstract: Examples disclosed herein relate to a phased array antenna system for use with a Low Earth Orbit (“LEO”) satellite constellation. The phased array antenna system has a plurality of antenna panels positioned in a dome and an antenna controller to control the plurality of antenna panels, the controller directing a first antenna panel to transmit a first signal and a second antenna panel to transmit a second signal to a LEO satellite, the first signal having a first phase and the second signal having a second phase different from the first phase.

Abstract: Systems, methods, and apparatus for beam steering and switching are disclosed. In one or more examples, a method for operating a communication system comprises switching, at least one switch in a rearrangeable switch network, to control input levels to power amplifiers in a power distribution network. The method further comprises outputting, by the power amplifiers in the power distribution network, power to a plurality of antenna elements. Further, the method comprises steering and distributing power, by the antenna elements, in beams associated with each of the antenna elements according to a level of the power in each of the antenna elements.