A method of emulating echo signals reflected from an elongated target during radar testing includes identifying first and second end points do the target; acquiring a radar signal from a radar sensor that includes multiple receive elements; generating emulated echo signals, responsive to the acquired radar signal, corresponding to target points on the target, including the first and second end points and reference points located on a line connecting the first and second end points, by repeatedly identifying descriptive attributes corresponding to each of the target points during an integration period of the radar sensor, where the descriptive attributes are identified by interpolating between the corresponding descriptive attributes of the first and second end points; and applying the emulated echo signals to the receive elements of the radar sensor, respectively, during the integration period, where radar sensor calculates a relative position of the target using the descriptive attributes.

An apparatus is described that, according to an exemplary embodiment, has an RF oscillator for generating an RF oscillator signal at a first frequency and a frequency divider having a division ratio that is fixed during operation. The frequency divider is supplied with the RF oscillator signal and is configured to provide an oscillator signal at a second frequency. The apparatus further has a monitor circuit, to which the oscillator signal at the second frequency is supplied and which is configured to measure the second frequency and to provide at least one digital value that is dependent on the second frequency of the oscillator signal. The at least one digital value is provided on a test contact.

A radar apparatus is provided with a data calculation unit, a first threshold calculation unit, a second threshold calculation unit, a detection threshold calculation unit and a peak detecting unit. The data calculation unit performs a frequency analysis of the reception signal to produce complex data. The first threshold calculating unit adds a predetermined addition value to a power value of the average data where the complex data is averaged to calculate a first threshold. The second threshold calculation unit calculates a second threshold based on a noise power. The detection threshold calculation unit calculates, for each frequency bin, a larger value of the first threshold and the second threshold to be the detection threshold.

A measurement setup for measuring attenuation through an irregular surface of a device under test is described. The measurement setup comprises a positioning system, a reference reflector having a collection of diffuse scattering members, and a three dimensional imaging system. The measurement setup has a reference state and a measurement state, wherein respective images are taken in the different states. The imaging system is configured to compare the images taken in the reference state and the measurement state to determine the attenuation of the device under test. Further, a reference reflector as well as a method for measuring attenuation are described.

A radar data processing device includes at least one analog-to-digital converter (ADC) configured to digitize a plurality of input signals, wherein each input signal includes radar chirp and radar chirp reflection information received at one of a plurality of receiver antennas. The radar data processing device also includes Fast Fourier Transform (FFT) logic configured to generate FFT output samples based on each digitized input signal, wherein at least some of the generated FFT output samples are across antenna FFT output samples associated with at least two of the plurality of receiver antennas. The radar data processing device also includes a processor configured to determine a plurality of object parameters based on at least some of the generated FFT output samples, wherein the processor uses a neural network classifier trained to provide a confidence metric for at least one of the plurality of object parameters.

A method for encoding and storing digital data, which include a plurality of real values, in a signal processing unit of a radar sensor in which at least one real value r in an exponential representation in the form r=m.Math.b.sup.k is stored, where m is a digital mantissa having a length p, b is a base, and k is a positive number that is encoded as a digital number having a length q. An exponential representation with b>2 is used for the compressed storage of the values r.

A method for encoding and storing digital data, which include a plurality of real values, in a signal processing unit of a radar sensor. In the method, at least one real value r in an exponential representation in the form r=m.Math.b.sup.k is stored, where m is a digital mantissa having a length p, b is a base, and k is a positive number that is encoded as a digital number having a length q. The values r for the compressed storage are transformed into an exponential representation in the form r=m*.Math.b.sup.f(k), where m* is the mantissa and f is a function of k that is selected from multiple functions, and the selection of function f takes place based on a value distribution of the values to be stored.

A system for testing vehicular radar is described. The system include a diffractive optical element (DOE) configured to diffract electromagnetic waves incident on a first side from a radar device under test (DUT). The system also includes a re-illumination element adapted to receive the electromagnetic waves diffracted from the DOE from a second side. The re-illumination element being adapted to transmit apparent angle of arrival (AoA) electromagnetic waves back to the DOE.

An automotive radar system that is switchable between one or more high power modes and one or more increased channel modes. The radar system includes multiple transmit antennas, an integrated circuit including a transmit chain generating a positive transmit signal and a negative transmit signal that together form a differential transmit signal, and a coupling interface. The coupling interface configurably couples the differential transmit signal to two transmit antennas of the multiple transmit antennas to selectively drive the two transmit antennas in either a differential mode or in a power-combining mode that combines power from the positive transmit signal and negative transmit signal to drive a first transmit antenna of the multiple transmit antennas while isolating a second transmit antenna of the two transmit antennas.

Method and systems for object detection using a radar module are disclosed. Frames of range and doppler data are received from a radar module at sample time intervals. Doppler zero slice data is extracted from a current frame of the range and doppler data. A prediction of doppler zero slice data is maintained. The prediction of doppler zero slice data is based at least partly on doppler zero slice data from a previous frame of range and doppler data. Standard deviation data is determined based at least partly on prediction error data. The prediction error data relates to a difference between the prediction of doppler zero slice data and the doppler zero slice data. An object detection output is determined based on a comparison of the standard deviation data and an object detection threshold.