A method for estimating correction angles in a radar sensor for motor vehicles, by which method a correction angle that considers a misalignment of the radar sensor is calculated by a statistical evaluation of positioning data that were recorded by the radar sensor. The positioning angle range of the radar sensor is subdivided into multiple sectors. The statistical evaluation of the positioning data for the different sectors is performed separately for the different sectors so that an individual correction angle is obtained for each sector.

A method of calibrating an analog front end (AFE) filter of a radio frequency integrated circuit (RFIC) includes: making a first measurement of the RFIC at a first measuring frequency while the AFE filter is bypassed; generating a first amplitude estimate and a first phase estimate at the first measuring frequency using the first measurement; making a second measurement of the RFIC at the first measuring frequency while the AFE filter is turned on; generating a second amplitude estimate and a second phase estimate at the first measuring frequency using the second measurement; and calculating a frequency response of the AFE filter at the first measuring frequency, which includes calculating an amplitude response of the AFE filter based on the second amplitude estimate and the first amplitude estimate; and calculating a phase response of the filter based on the first phase estimate and the second phase estimate.

A method of calibrating an analog front end (AFE) filter of a radio frequency integrated circuit (RFIC) includes: making a first measurement of the RFIC at a first measuring frequency while the AFE filter is bypassed; generating a first amplitude estimate and a first phase estimate at the first measuring frequency using the first measurement; making a second measurement of the RFIC at the first measuring frequency while the AFE filter is turned on; generating a second amplitude estimate and a second phase estimate at the first measuring frequency using the second measurement; and calculating a frequency response of the AFE filter at the first measuring frequency, which includes calculating an amplitude response of the AFE filter based on the second amplitude estimate and the first amplitude estimate; and calculating a phase response of the filter based on the first phase estimate and the second phase estimate.

A radar authentication method includes after obtaining output data of a to-be-authenticated radar, a computer device that first invokes a prediction model to obtain predicted data of the to-be-authenticated radar based on the output data of the to-be-authenticated radar, where the prediction model is obtained through training based on output data of a target radar. Then the computer device verifies, based on the predicted data of the to-be-authenticated radar and the output data of the to-be-authenticated radar, whether the to-be-authenticated radar and the target radar are the same radar.

Radar System The disclosure relates to a radar system having multiple radar transceiver modules, in which each module has a clock signal that is synchronised with a clock signal generated by a leader transceiver module. Example embodiments include a radar system (400) comprising a plurality of radar transceiver modules (401, 402) mounted to a common PCB (404), the plurality of radar transceiver modules comprising a leader module (401) and one or more follower modules (402), the leader module (401) comprising a first oscillator (403) configured to provide a first clock signal at a first frequency to each follower module (402), each of the leader and follower modules comprising a phase locked loop, PLL, clock signal generator (300), the PLL clock signal generator (300) comprising a divide by n clock divider (304) arranged to output 2n phase shifted clock signals (314) at a third frequency and a multiplexer (306) connected to receive the 2n phase shifted clock signals from the divide by n clock divider (304) and output a third clock signal (308) selected by an input phase select signal (307).

Radar System The disclosure relates to a radar system having multiple radar transceiver modules, in which each module has a clock signal that is synchronised with a clock signal generated by a leader transceiver module. Example embodiments include a radar system (400) comprising a plurality of radar transceiver modules (401, 402) mounted to a common PCB (404), the plurality of radar transceiver modules comprising a leader module (401) and one or more follower modules (402), the leader module (401) comprising a first oscillator (403) configured to provide a first clock signal at a first frequency to each follower module (402), each of the leader and follower modules comprising a phase locked loop, PLL, clock signal generator (300), the PLL clock signal generator (300) comprising a divide by n clock divider (304) arranged to output 2n phase shifted clock signals (314) at a third frequency and a multiplexer (306) connected to receive the 2n phase shifted clock signals from the divide by n clock divider (304) and output a third clock signal (308) selected by an input phase select signal (307).

Disclosed is a compact integrated apparatus of an interferometric radar altimeter (IRA) and a radar altimeter (RA) capable of performing individual missions by altitude, which includes: a plurality of antennas; a signal processing control unit selecting an RA mode at a low altitude and selecting an IRA mode at a high altitude based on a mode threshold and selecting an FMCW waveform at the low altitude and selecting an FM pulse waveform at the high altitude based on a waveform threshold; and a transceiving unit transmitting a signal by a first antenna positioned at an outermost portion among the plurality of antennas and receiving a signal by an nth antenna positioned at another outermost portion among the plurality of antennas in the RA mode and transmitting a signal through the first antenna and receiving signals through the plurality of antennas in the IRA mode.

Various systems and methods for optimizing use of environmental and operational sensors are described herein. A system for improving sensor efficiency includes object recognition circuitry implementable in a vehicle to detect an object ahead of the vehicle, the object recognition circuitry configured to use an object detection operation to detect the object from sensor data of a sensor array, and the object recognition circuitry configured to use at least one object tracking operation to track the object between successive object detection operations; and a processor subsystem to: calculate a relative velocity of the object with respect to the vehicle; and configure the object recognition circuitry to adjust intervals between successive object detection operations based on the relative velocity of the object.

A multi-target dynamic simulation test system for vehicle-mounted millimeter-wave (MMW) radar. The test system includes an antenna turntable, a radar pan-and-tilt head (PTH), a radar echo simulation module, a control module, a signal acquisition module and a display. A test radar is driven by the radar PTH to pan or tilt. The radar PTH and the test radar are both placed in a darkroom module. An antenna is driven by the antenna turntable to pan. The control module sends expected states of the test radar and the antennas to the radar PTH and the antenna turntable, respectively, and sends relative states between host vehicle and virtual targets to the test radar after processing by the radar echo simulation module. The signal acquisition module acquires and stores a detection signal of the test radar, and transmits the detection signal of the test radar to the display for real-time display.

A method for training a trainable module for evaluating radar signals. The method includes feeding actual radar signals and/or actual representations derived therefrom of a scene observed using the actual radar signals to the trainable module and conversion thereof by this trainable module to processed radar signals and/or to processed representations of the respective scene, and using a cost function to assess to what extent the processed radar signals are suited for reconstructing a movement of objects or to what extent the processed representations contain artifacts of moving objects in the scene. Parameters, which characterize the performance characteristics of a trainable module, are optimized with regard to the cost function. A method is also provided for evaluating moving objects from radar signals.