A distance measuring apparatus according to an embodiment includes, a filter section configured to perform band limitation on a transmission signal and output the transmission signal, and to perform band limitation on a reception signal from an antenna section and output the reception signal, a distance measuring section configured to perform a distance measurement computation based on the transmission signal and the reception signal, and to obtain a delay of a signal passing through the filter section and perform calibration of the distance measurement computation, a signal interruption section configured to interrupt transmission of a signal between the filter section and the antenna section, and a control section configured to control the signal interruption section to interrupt the transmission of the signal during a period of the calibration.

Methods, apparatus, systems and articles of manufacture are disclosed to test RADAR integrated circuits. A radar circuit comprising a local oscillator (LO), a transmitter coupled to the LO and configured to be coupled to a transmission network, a receiver configured to be coupled to the transmission network, and a controller coupled to the LO, the transmitter, and the receiver, the controller to cause the LO to generate a frequency modulated continuous waveform (FMCW), cause the transmitter to modulate the FMCW as a modulated FMCW, cause the transmitter to transmit the modulated FMCW via the transmission network and the receiver to obtain a received FMCW from the transmission network, and in response to obtaining the received FMCW from the receiver, generate a performance characteristic of the radar circuit based on the received FMCW.

Illustrative methods and circuits to verify operation of phase shifters. One illustrative method includes: obtaining a first set of in-phase and quadrature components (I.sub.1,Q.sub.1) of a phase shifter output signal with a first setting; measuring a second set of components (I.sub.2,Q.sub.2) with a second setting, the second setting being offset from the first by a predetermined phase difference; and combining the first and second sets to determine whether their relationship corresponds to the predetermined phase difference. An illustrative transmitter includes: a phase shifter, an I/Q mixer, and a processing circuit. The phase shifter converts a transmit signal into an output signal having a programmable phase shift. The I/Q mixer mixes the output signal with a reference signal to obtain in-phase and quadrature components of the output signal. The processing circuit is coupled to the I/Q mixer implement the disclosed method.

According to an example aspect of the present invention, there is provided a method comprising, receiving, from a radar, a first reflected signal and a second reflected signal, determining a reference signal of the first reflected signal and training an artificial neural network using the first reflected signal and the reference signal of the first reflected signal, upon training, determining an output of the artificial neural network associated with the first reflected signal and providing a magnitude and angle image of the radar associated with the second reflected signal based on the output of the artificial neural network associated with the first reflected signal.

Methods, apparatus, systems and articles of manufacture are disclosed to test RADAR integrated circuits. A radar circuit comprising a local oscillator (LO), a transmitter coupled to the LO and configured to be coupled to a transmission network, a receiver configured to be coupled to the transmission network, and a controller coupled to the LO, the transmitter, and the receiver, the controller to cause the LO to generate a frequency modulated continuous waveform (FMCW), cause the transmitter to modulate the FMCW as a modulated FMCW, cause the transmitter to transmit the modulated FMCW via the transmission network and the receiver to obtain a received FMCW from the transmission network, and in response to obtaining the received FMCW from the receiver, generate a performance characteristic of the radar circuit based on the received FMCW.

A method for the use in a radar system is described herein. In accordance with one implementation, the method includes providing a local oscillator signal to a transmit channel of a radar chip. The transmit channel generates an RF output signal based on the local oscillator signal. An internal RF test signal is generated by applying the local oscillator signal to the transmit channel. First and second phase values are determined for a first and a second value of an influence parameter of the radar chip based on internal measurements of the first and second phase values. Third and fourth phase values are determined for the first and second values of the influence parameter, respectively, based on the RF output signal. A calibration parameter is calculated based on the first, second, third, and fourth phase values and is used to estimate a phase of the RF output signal.

A system simulates a moving target for a radar system under test. The system includes a Doppler simulation circuit (DSC), coupled to an input, to apply a frequency shift to RF pulses received on an RF signal to simulate speed. A signal attenuator coupled to the DSC is to simulate signal attenuation due to propagation loss of the RF pulses in atmosphere. A pulse detection circuit is to detect time of receipt of the RF pulses, including a first time of receipt of a falling edge of a first RF pulse. An I/O controller updates a value of the frequency shift for the DSC and of the signal attenuation for the signal attenuator during a time period between the first RF pulse and one of a second RF pulse or a second time at which the second RF pulse should have been received in case of a missing pulse.

Various technologies relating to a system that uses a computer-implemented model to determine optimal radar parameter settings based on the situational and environmental context of an autonomous vehicle (AV) to improve driving outcomes of the AV. Simulated sensor data corresponding to different radar parameter settings can be generated in simulation, and the computer-implemented model can be trained based on the respective sets of simulated sensor data. A radar system of an AV can be modified to operate using a radar parameter setting identified by the computer-implemented model, where the radar parameter setting is outputted by the computer-implemented model responsive to a state identified from sensor data being inputted to the computer-implemented model. The AV can use the output of the computer-implemented model to select the optimal radar parameter settings to implement.

The invention relates to a method for determining a deviation of a broadband measurement signal from a reference signal. The method provides the steps: subdivision of the signal into at least two measurement-signal frequency bands; displacement of the measurement-signal frequency bands; and reconstruction of the at least two measurement-signal frequency bands. A corresponding measurement device is also contained within the idea of the invention.

The present disclosure is directed to simulating patterns of reflected radar energy off of reference objects using motion data associated with these reference objects. This motion data may identify start times, start locations, end times, and end locations of a limited number reference objects in a set of discrete scenes. Each of these discrete scenes may also have a same time duration. Motion of these specific objects between a start time and an end time of each discrete scene may be interpolated. Once the locations of the objects are interpolated for a given scene, simulations may be performed to estimate the appearance of reflected radar signals that would be received by a radar apparatus. These simulations may identify patterns of reflected radar energy after radar signals have been emitted from the radar apparatus and these patterns may then be provided to train a machine learning apparatus.