Infineon Technologies Ag

Paul Meissner

Alexander Melzer

Mate Andras Toth

Andre Roger

Farhan Bin Khalid

Franz Pernkopf

Johanna Rock

Mario Huemer

Matthias Wagner

Thomas Gigl

Fisnik Sulejmani

Wolfgang Roth

Grigory Itkin

Romain Ygnace

Christoph Steiner

Rainer Stuhlberger

Markus Bichl

Alexander Onic

Hendrikus Van Lierop

Christian Schmid

Dian Tresna Nugraha

Maximilian Eschbaumer

Markus Haltmeier

Michiel Helsloot

Vladimir Petrovic

Alexander Fuchs

Elmar Messner

Johannes Sappl

A radar device may include a radar receiver to receive a radio frequency (RF) radar signal and generate a digital signal based on the RF radar signal. The digital signal may comprise a plurality of signal segments. The radar device may include a neural network comprising a plurality of layers to process the plurality of signal segments. Each layer of the plurality of layers may have one or more neurons. The plurality of layers may process the plurality of signal segments using weighting factors having values selected from a predetermined set of discrete values. At least one neuron in an output layer of the plurality of layers may provide an output value that indicates whether a respective signal segment or a sample, associated with the at least one neuron, is overlaid with an interfering signal.

FMCW radar with interference signal suppression using artificial neural network

A radar device may include a radar transmitter to output a radio frequency (RF) transmission signal including a plurality of frequency-modulated chirps. The radar device may include a radar receiver to receive an RF radar signal, and generate, based on the RF radar signal, a dataset including a set of digital values, the dataset being associated with a chirp or a sequence of successive chirps. The radar device may include a neural network to filter the dataset to reduce an interfering signal included in the dataset, the neural network being a convolutional neural network. At least one layer of the neural network may be a complex-valued neural network layer includes complex-valued weighting factor, where the complex-valued neural network layer is configured to perform one or more operations according to a complex-valued computation.

A method for a radar device is described below. According to an example implementation, the method comprises transmitting an RF transmission signal that comprises a plurality of frequency-modulated chirps, and receiving an RF radar signal and generating a dataset containing in each case a particular number of digital values based on the received RF radar signal. A dataset may in this case be associated with a chirp or a sequence of successive chirps. The method furthermore comprises filtering the dataset by way of a neural network to which the dataset is fed in order to reduce an interfering signal contained therein. A convolutional neural network is used as the neural network.

A method of determining a temporal position of a received signal within a sample series is disclosed. The method includes sampling a sensor at a sampling frequency to generate the sample series. A matched filter set of matched filters is applied to the sample series to generate a matched filter correlation set of matched filter correlations, wherein impulse responses of respective matched filters correspond to a template signal at the sampling frequency of the sensor shifted by a sub-interval shift. The matched filter correlations are evaluated to determine a received signal sub-interval shift. The temporal position of the received signal within the sample series is determined based on at least the received signal sub-interval shift.

Signal temporal position determination

A method for the use in a radar system comprises: receiving an RF radar signal; down-converting the received RF radar signal into a base band using a frequency-modulated local oscillator signal including a scanning chirp having a higher bandwidth than a regular chirp bandwidth; generating a digital base band signal based on the down-converted RF radar signal, the digital base band signal including a sequence of samples associated with the scanning chirp; identifying, in the sequence of samples, impaired samples, which are affected by interference; and selecting&#x2014;based on the position of the impaired samples within the sequence of samples&#x2014;a sub-band, which has the regular chirp bandwidth, for transmitting chirps of chirp frame used for measurement data acquisition.

FMCW radar with frequency hopping

In accordance with an embodiment, a method of operating a radar system includes activating a transmitter to transmit a radar signal during a first time period, receiving a reflection of the radar signal from a radar antenna, downconverting the reflected radar signal, and digitally processing the downconverted reflected radar signal within a first frequency bandwidth using a first signal path. The method also includes deactivating the transmitter during a second time period, receiving a second signal from the radar antenna during the second time period, downconverting the second signal, measuring a power of the downconverted second signal within a second frequency bandwidth using a second signal path different from the first signal path, and determining an interference metric based on measuring the power.

System and method for determining interference in a radar system

A method is described that can be used in a radar system. In accordance with one exemplary embodiment, the method includes calculating a first spectrum, which represents a spectrum of a segment of a complex baseband signal. The segment is assignable to a specific chirp of a chirp sequence contained in a first RF radar signal. The method further includes estimating a second spectrum, which represents a spectrum of an interference signal contained in the complex baseband signal, based on a portion of the first spectrum that is assigned to negative frequencies.

FMCW radar with interference signal suppression

The description below relates to a method for a radar system that can be used to detect perturbations in the received radar signal. According to an example implementation, the method comprises providing a digital radar signal using a radar receiver, wherein the digital radar signal comprises a multiplicity of segments; calculating an envelope signal that represents the envelope of a segment of the digital radar signal; and ascertaining a time of the onset of an interference signal contained in the considered segment of the digital radar signal by using at least one statistical parameter of the envelope signal.

Detection of interference-induced perturbations in FMCW radar systems

A method is described below which can be used in a radar system. According to one example implementation, the method comprises providing a digital baseband signal using a radar receiver. The baseband signal comprises a plurality of segments, wherein each segment is assigned to a chirp of an emitted chirp sequence and each segment comprises a specific number of samples. For each signal sequence of n samples of the segments, where n in each case denotes a specific sample position within the respective segment, the method comprises the following: detecting interference-affected samples of the signal sequence; splitting the signal sequence into two or more sub-band signal sequences, wherein each sub-band signal sequence is assigned in each case to a frequency sub-band; replacing interference-affected samples in the two or more sub-band signal sequences in each case with a value which is based on adjacent samples in order to obtain corrected sub-band signal sequences; and determining a corrected signal sequence of n samples of the segments based on the corrected sub-band signal sequences.

FMCW radar with interfering signal suppression in the time domain

The present disclosure relates to a radar device including a first radar-IC for processing first receive signals from first antennas of an antenna array, wherein the first radar-IC is configured to determine a first range-Doppler map based on the first receive signals, and to determine a first subregion of the first range-Doppler map based on criteria of interest. The radar device also includes at least a second radar-IC for processing second receive signals from second antennas of the antenna array, wherein the second radar-IC is configured to determine a second range-Doppler map based on the second receive signals, and to determine a second subregion of the second range-Doppler map based on the criteria of interest. A data interface is configured to forward information indicative of the first and/or the second subregions to a common processor for further processing.

Radar device and method for detecting radar targets

The present disclosure relates to a light detection and ranging (LIDAR) sensor comprising a detector configured to generate a first detector signal at a first delay time following an emission of a first light pulse and to generate at least one second detector signal at the first delay time following an emission of at least a second light pulse; and a processor configured to generate a combined signal for the first delay time based on a combination of the first detector signal and the at least one second detector signal. Depending on the type of combination, the combined signal can be used for interference detection or mitigation.

Interference detection and mitigation for lidar systems

A method for generating a compact representation of radar data, includes determining at least one data peak within a multi-dimensional representation of radar data; and compressing radar data samples of the multi-dimensional representation within a limited neighborhood around the at least one data peak to generate the compact representation.

Method for generating a compact representation of radar data, radar device and radar data processing circuit

A method for use in a radar device is described herein. In accordance some implementations, the method includes generating an RF oscillator signal which includes frequency-modulated chirps, amplitude-modulating the RF oscillator signal by a modulation signal, and transmitting the amplitude-modulated RF oscillator signal via at least one antenna. In some implementations, the method may further include receiving an RF signal that includes frequency-modulated chirp echo signals from a target object, down-converting the received RF signal into a base band using the RF oscillator signal for providing a base band signal, and processing the base band signal to detect information included in the modulation signal.

FMCW radar with additional AM for interference detection

A method for a radar apparatus is described. According to one example implementation, the method involves receiving a multiplicity of chirp echoes from transmitted radar signals and generating a digital signal based on the multiplicity of chirp echoes. In this case, each chirp echo has an associated subsequence of the digital signal. The method further involves performing a filtering in the time domain for one or more subsequences. The filtering in this case involves the decomposition of the subsequence into a plurality of components (referred to as principal components), the selection of a subset of components from the plurality of components and the reconstruction of a modified subsequence based on the selected subset of the component.

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Feldkirchen bei Graz, Austria

Paul Meissner