This document describes techniques for enabling radar system calibration with bistatic sidelobe compensation. Radar signals reflect off of a flat plate that changes orientation (e.g., elevation and/or azimuth angle) and position relative to a mounting position of a specific radar sensor being calibrated. For each radar sensor, measurements may be obtained across a range of translational positions of the flat plate. Highly accurate calibration errors are determined for each radar sensor this way. By calibrating radar systems repositioning the target during the data collection in this way, the prominence of any bistatic sidelobes appearing in measurements may be reduced or prevented, which may enable less-complex and more-accurate calibration of each unique radar system installation. An indication of each calibration error may be output for use in individually adjusting the mounting position of each specific radar sensor within a radar system.

Techniques and apparatuses are described that implement a smart-device-based radar system capable of performing angular estimation using machine learning. In particular, a radar system 102 includes an angle-estimation module 504 that employs machine learning to estimate an angular position of one or more objects (e.g., users). By analyzing an irregular shape of the radar system 102's spatial response across a wide field of view, the angle-estimation module 504 can resolve angular ambiguities that may be present based on the angle to the object or based on a design of the radar system 102 to correctly identify the angular position of the object. Using machine-learning techniques, the radar system 102 can achieve a high probability of detection and a low false-alarm rate for a variety of different antenna element spacings and frequencies.

A radar apparatus includes a plurality of transmission antennae and a radar transmitter that transmits transmission signals by using the plurality of transmission antennae. In a virtual reception array including a plurality of virtual antennae formed of a plurality of reception antennae and the plurality of transmission antennae, disposition positions of at least two of the virtual antennae are the same as each other, and, transmission intervals of the transmission signals that are sequentially transmitted from transmission antennae corresponding to the at least two virtual antennae among the plurality of transmission antennae are an equal interval.

A method for automatically adjusting correction information in a radar system of a vehicle. The method includes: performing at least one acquisition of at least one item of acquisition information by a radar sensor, the acquisition information being specific to at least one item of angle information and one item of distance information relating to at least one detected object in an environment of the vehicle. An identification of a reference object is performed in the environment on the basis of the acquisition information. An ascertainment of the distance information relating to the reference object is performed on the basis of the acquisition information. The adjustment of the correction information is performed on the basis of the ascertained distance information relating to the reference object in order to provide a correction of the angle information.

An electronic device includes a plurality of sensors installed in predetermined orientations at different positions. Each of the plurality of sensors includes a transmission antenna that transmits a transmission wave, a reception antenna that receives a reflected wave that is the transmission wave having been reflected, and a control unit that detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The electronic device further includes a determination unit that determines a shift in orientation of at least any of the plurality of sensors, based on detection results of an object obtained by the plurality of sensors.

An axial displacement estimation device estimates an axial displacement angle of a radar apparatus mounted on a mobile body. The axial displacement estimation device uses a plurality of detection values acquired by mutually different plurality of modulation methods to estimate an axial displacement angle for each of the plurality of modulation methods. The axial displacement estimation device determines whether a predetermined allowable condition is met based on a plurality of axial displacement angle estimation results estimated using a plurality of detection values corresponding to respective plurality of modulation methods. The axial displacement estimation device utilizes at least one of a plurality of axial displacement angle estimation results when determined that the predetermined allowable condition is met.

An axial displacement angle estimation device repeatedly calculates an axial displacement angle based on the detection result of the radar apparatus. The axial displacement angle estimation device extracts the axial displacement angle included in a predetermined extraction angle range among a plurality of axial displacement angles, and calculate an average value of the extracted plurality of axial displacement angles to be an axial displacement angle average value. The axial displacement angle estimation device determines, based on the axial displacement angle average value, whether a predetermined allowable condition is met. The axial displacement angle estimation device utilizes, when determined that the predetermined allowable condition is met, the axial displacement angle average value as an estimation result of the axial displacement angle.

A vehicle radar device includes a radar control unit, a first antenna array, a second antenna array, a first circuit board and a second circuit board. The first antenna array is communicatively connected to the radar control unit. The first antenna array includes a plurality of first transmitting elements and a plurality of first receiving elements. The second antenna array is communicatively connected to the radar control unit. The second antenna array includes a plurality of second transmitting elements and a plurality of second receiving elements. The first antenna array is a plurality of circuit board antennas and disposed on the first circuit board. The second antenna array is a plurality of circuit board antennas and disposed on the second circuit board.

There is provided a detection device calibration method including: attaching a first reflector to a side surface of a vehicle such that a reflection surface of the first reflector is perpendicular to a vehicle width direction; adjusting a direction of a laser marker such that a first laser beam of the laser marker is emitted perpendicularly to the reflection surface of the first reflector; adjusting a direction of a second reflector disposed in front of or behind the vehicle such that a second laser beam of the laser marker is emitted perpendicularly to a reflection surface of the second reflector, the second laser beam being emitted in a vehicle length direction; emitting a detection wave from a detection device provided in the vehicle to the second reflector; and calibrating a transmission direction of the detection wave based on a detection result of a reflected wave.

Systems and methods for calibrating a radar sensor based upon synthetic aperture radar (SAR) principles are described herein. A relative motion is induced between a radar sensor and a calibration target in the field-of-view of the radar sensor. The radar sensor receives returns from the calibration target. The radar sensor outputs, based upon the relative motion between the radar sensor and the calibration target, detections that are indicative of locations of points on the calibration target. A computing system generates calibration data based upon the detections, the calibration data comprising a correction factor between a position measured by the radar sensor and a corresponding true position of an object. The computing system programs the radar sensor based on the calibration data such that subsequent to being programmed, the radar sensor outputs detections based upon radar returns and the calibration data.