A system and method for calibrating a vehicle optical sensor includes positioning the vehicle in a test station having a projection surface in view of the optical sensor, positioning targets on two hubs of the vehicle, and positioning lasers left to right that are mounted on a graduated mounting bar in front of the vehicle. The graduated mounting bar includes gradations indicative of a lateral position of the lasers on the graduated mounting bar. The lasers are configured to obtain a distance to the targets and distances along respective axes and between the lasers. The calibration is performed based on the obtained distances and once the vehicle's position in the test station is known with respect to the test station.

A processing unit analyzes a reception signal to calculate, for every plurality of receiving antennas, a velocity spectrum in which a frequency is associated with a velocity at which the phase of the reception signal is changed at every cycle period. The processing unit extracts, as a group of identical object peaks, peaks that are generated on a velocity spectrum due to an identical object and that are identical in number to transmitting antennas. The processing unit determines, for each of the plurality of peaks constituting the group of identical object peaks, whether there is power variation among a plurality of the receiving antennas. The processing unit calculates an orientation of the object except for virtual receiving antennas included in a plurality of virtual receiving antennas and formed by the transmitting antennas corresponding to the peaks determined to involve the power variation.

A radar sensor head for a radar system. The radar sensor head includes at least one transmitting antenna for generating and at least one receiving antenna for receiving radar waves; a preprocessing unit for defined preprocessing of received data; an interface for connecting the radar sensor head to a data line; and a calibration data unit for at least partially calibrating the transmitting antenna and/or the receiving antenna, calibration data for the transmitting antenna and the receiving antenna being stored using the calibration data unit.

A testing device for testing a distance sensor that operates using electromagnetic waves includes: a receiving element for receiving an electromagnetic free-space wave as a receive signal (S.sub.RX); and a radiating element for radiating an electromagnetic output signal (S.sub.TX). In a test mode, a test signal unit generates a test signal (S.sub.test), and the radiating element is configured to radiate the test signal (S.sub.test) or a test signal (S′.sub.test) derived from the test signal (S.sub.test) as the electromagnetic output signal (S.sub.TX). In the test mode, an analysis unit is configured to analyze the receive signal (S.sub.RX) or the derived receive signal (S′.sub.RX) in terms of its phase angle (Phi) and/or amplitude (A) and store a determined value of phase angle (Phi) and/or amplitude (A) synchronously with the radiation of the test signal (S.sub.test) or of the derived test signal (S′.sub.test) as the electromagnetic output signal (S.sub.TX).

A vehicular apparatus is provided with a radar device. A station apparatus has a stop position for the vehicular apparatus. The station apparatus is provided with a signal source located at a position and transmitting a radio signal to the radar device. A receiver circuit of the radar device receives a radio signal from a signal source to output a received signal, when the vehicular apparatus stops at the stop position. A signal processing circuit of the radar device estimates distance and direction of the signal source with respect to the radar device based on the received signal. A control circuit of the radar device calibrates the receiver circuit, or the signal processing circuit based on known distance and direction of the signal source with respect to the radar device of the vehicular apparatus stopping at the stop position, so as to minimize errors of the estimated distance and direction.

A synthetic aperture radar (SAR) system generates an image of a first swath. The SAR includes at least one SAR antenna, at least one SAR processor and at least one SAR transceiver. In operation the SAR defines a first beam to illuminate the first swath and one or more second beams to illuminate area(s) of ambiguity associated with the first beam. The SAR transmits a pulse via the first beam and receives backscatter energy. The SAR generates a first signal associated with the first beam and one or more second signals associated with the second beam(s). The second signal(s) are combined with determined complex vector(s), generating ambiguity signal(s) and the ambiguity signals are combined with the first signal to generate an image associated with the first swath.

A self-diagnosis device of a radar system or a phased-array antenna module including a general-purpose multi-channel IC and a transmission phase shifter IC having a plurality of transmission output terminals and reception terminals is configured to perform a self-diagnosis of the transmission phase shifter by utilizing a signal that is generatable by the general-purpose multi-channel IC, which is enabled by a built-in self-test circuit that (A) generates a self-diagnosis monitor signal converted into a low frequency band, which is a mixture of (i) a self-diagnosis signal generated from (a) a third output signal and a fourth output signal output in sync from same PLL with (b) a first output signal to be supplied to a reception frequency converter of the general-purpose multi-channel IC, and (ii) a composite signal of the transmission channel, and (B) analyzes a phase of the self-diagnosis monitor signal.

According to an aspect, method of enhancing a resolution in a radar system having an antenna aperture comprises measuring a first radiation pattern corresponding to a first set of receiving antennas by feeding a known radio frequency (RF) signal over the first set of receiving antennas, wherein the first set of radiation due to an impairment, coherently combining an interpolated radiation pattern with a received radar signal received by the set of receiving antenna when employed for an object detection, to generate a high signal to noise ratio (SNR) received signal, and iteratively combining the high SNR received signal with the interpolated signal to reduce the error due to the impairment.

A transceiver is disclosed. The transceiver accesses a CFO (carrier frequency offset) estimate, and, for each of one or more working frequencies: transmits a transmitter RF signal at each working frequency, receives a receiver RF signal at each working frequency, and generates first I/Q measurement data based at least in part on the received receiver RF signal and the CFO estimate. In some embodiments, the transceiver receives I/Q measurement information for each working frequency. In some embodiments, the transceiver generates second I/Q measurement data based at least in part on the received I/Q measurement information. In some embodiments, the transceiver estimates a distance between the antenna and an antenna of another device based at least in part on the first and second I/Q measurement data.

Two-dimensional DOA estimation is challenging as the computational and hardware complexity could scale as the square as compared to that of one-dimensional problem. The proposed scheme relies on designing antenna locations and also involves a mix of subarray and digital beamforming to lower the overall system performance and cost by reducing the costly transceiver chains.

This framework proposes a two-step solution which first isolates a target to a given range doppler bin and elevation angle by linear receive subarray in the elevation direction. However, the elevation estimate is relatively coarse which is further refined along with a high-resolution estimate of azimuth angle. This is achieved by processing the received data from a 2D sparse antenna array, which are systematically chosen to maximize the resolution in both directions. The compressive sensing algorithm is applied to the 2D sparse received array data which exploits the sparse representation of the underlying signal support. The propose approach successfully pairs the correct elevation and azimuth angles for multiple targets. The methodology is effective for a case of single data snapshot and algorithm performance scale well with the availability of multiple data snapshots. It is noted that the proposed methodology allows to further increase the system resolution when data is processed with MIMO virtual array processing.