A radar measurement method includes aligning a radar antenna with a test target by comparing a pre-defined reference image of the test target with an image capture device image of the test target and moving a radar antenna that illuminates the test target to a radar antenna position relative to the test target based on the comparison.

A radar measurement method includes aligning a radar antenna with a test target by comparing a pre-defined reference image of the test target with an image capture device image of the test target and moving a radar antenna that illuminates the test target to a radar antenna position relative to the test target based on the comparison.

A a method for managing a secondary radar operating in Mode S, the method includes a) a detection in “seeking mode”, the “seeking mode” being implemented until an aircraft is detected by the secondary radar; b) a detection in “tracking mode”, the “tracking mode” being implemented if a valid response to a roll-call interrogation was detected in “seeking mode”; the method comprising an intermediate step a1), which is executed between the detection in “seeking mode” and the detection in “tracking mode”, the intermediate step comprising: detecting the presence or absence of the reply of the aircraft in a noise window of the secondary radar; carrying out at least one roll-call interrogation, using the first monitoring window, if the reply of the aircraft is not located in the noise window.

An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, and a signal processor, which simultaneously outputs, as sensing data, pieces of detection data respectively output from the plurality of sensors on the basis of the sensing period of any one of the plurality of sensors, calculates a reliability value of each of the pieces of detection data on the basis of the pieces of detection data and external environment data, and outputs the reliability value as reliability data.

An automotive sensor integration module including a plurality of sensors which differ in at least one of a sensing period or an output data format, and a signal processor, which simultaneously outputs, as sensing data, pieces of detection data respectively output from the plurality of sensors on the basis of the sensing period of any one of the plurality of sensors, calculates a reliability value of each of the pieces of detection data on the basis of the pieces of detection data and external environment data, and outputs the reliability value as reliability data.

An electronically aligned wideband tracking modulator system is described. The wide band tracking modulator system comprises a waveguide coupled to an antenna. The wide band tracking modulator system also comprises waveguide tuning circuitry configured to convert RF energy from a waveguide of the wideband tracking modulator system into an RF signal that can be processed by the waveguide tuning circuitry. The waveguide tuning circuitry is also configured to shift a phase of the RF signal. The waveguide tuning circuitry is further configured to convert the phase-shifted RF signal into phase-shifted RF energy and return the phase-shifted RF energy to the waveguide to electrically align the wideband tracking modulator system.

For example, an apparatus may include a radar, the radar may include a reconfigurable radio configured, based on a plurality of reconfigurable radio parameters, to transmit a plurality of Transmit (Tx) radar signals via a plurality of Tx antennas, to receive via a plurality of Receive (Rx) antennas a plurality of Rx radar signals based on the plurality of Tx radar signals, and to provide digital radar samples based on the Rx radar signals; a radar perception processor configured to generate radar perception data based on the digital radar samples, the radar perception data representing semantic information of an environment of the radar; and a feedback controller to configure the plurality of reconfigurable radio parameters based on the radar perception data, and to feedback the reconfigurable radio parameters to the reconfigurable radio.

For example, an apparatus may include a radar, the radar may include a reconfigurable radio configured, based on a plurality of reconfigurable radio parameters, to transmit a plurality of Transmit (Tx) radar signals via a plurality of Tx antennas, to receive via a plurality of Receive (Rx) antennas a plurality of Rx radar signals based on the plurality of Tx radar signals, and to provide digital radar samples based on the Rx radar signals; a radar perception processor configured to generate radar perception data based on the digital radar samples, the radar perception data representing semantic information of an environment of the radar; and a feedback controller to configure the plurality of reconfigurable radio parameters based on the radar perception data, and to feedback the reconfigurable radio parameters to the reconfigurable radio.

An object recognition method includes generating a first frequency domain signal according to a first echo signal, updating at least one parameter of a primary classifier according to the first frequency domain signal and a training target corresponding to the first frequency domain signal, generating a second frequency domain signal according to a second echo signal, and generating object classification data corresponding to the second frequency domain signal according to the second frequency domain signal and the at least one parameter of the primary classifier. The object classification data is associated with presence of a second object.

An object recognition method includes generating a first frequency domain signal according to a first echo signal, updating at least one parameter of a primary classifier according to the first frequency domain signal and a training target corresponding to the first frequency domain signal, generating a second frequency domain signal according to a second echo signal, and generating object classification data corresponding to the second frequency domain signal according to the second frequency domain signal and the at least one parameter of the primary classifier. The object classification data is associated with presence of a second object.