METAWAVE CORPORATION

Examples disclosed herein relate to a reflectarray panel for near-field wireless communication coverage area and designing the reflectarray panel. The method includes one or more following steps, including, determining a near field coverage area of the reflectarray panel, calculating a tangential reflected field on a reflectarray surface of the reflectarray panel based at least on a feed location and initial geometric parameters of the reflectarray surface, determining radiation pattern specifications with an incident beam pointed toward a center of the near field coverage area, performing a near-field pattern synthesis algorithm on an initial phase distribution of the reflectarray panel, determining a synthesized phase distribution on the reflectarray surface from a result of performing the near-field pattern synthesis algorithm, adjusting one or more geometric parameters of each reflectarray cell of the reflectarray panel to produce the synthesized phase distribution, and/or determining dimensions of the reflectarray panel for manufacturing.

An on-chip or built-in self-test (BIST) module for an RFIC is provided. The BIST module can be implemented in an RFIC system, which may include a beamforming module of a radar system. The BIST module may include components and methods to up-convert a signal from a test frequency to RF at an input to the RFIC and down-convert and output signal.

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.

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.

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.

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.

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.

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.

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.

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.