FMCW radar with interference signal suppression using artificial neural network

A radar device, comprising:

• a radar transmitter that is designed to output a radio-frequency (RF) transmission signal that comprises a plurality of frequency-modulated chirps;
• a radar receiver that is designed to receive an RF radar signal associated with a plurality of frequency modulated chirps and, based thereon, to generate a dataset containing a particular number of digital values,
• wherein a dataset is associated with a chirp or a sequence of successive chirps;
• and
• a neural network to which the dataset is fed and that is designed to filter the dataset in order to reduce an interfering signal originating from at least one radar transmitter of at least one other radar device contained therein,
• wherein the neural network is a convolutional neural network with a plurality of layers,
• wherein a convolutional kernel is associated with one or more neural network (NN) channels of a plurality of further layers of the plurality of layers, and
• wherein the plurality of further layers receive as input, output values of the one or more NN channels of a previous layer.

A method for a radar device, comprising:

• transmitting a radio-frequency (RF) transmission signal that comprises a plurality of frequency-modulated chirps;
• receiving an RF radar signal associated with a plurality of frequency modulated chirps, and generating a dataset containing a particular number of digital values based on the RF radar signal,
• wherein a dataset is associated with a chirp or a sequence of successive chirps;
• and
• filtering the dataset using a neural network to which the dataset is fed in order to reduce an interfering signal originating from at least one radar transmitter of at least one other radar device contained therein,
• wherein the neural network is a convolutional neural network with a plurality of layers,
• wherein a convolutional kernel is associated with one or more neural network (NN) channels of one or more other layers of the plurality of layers, and
• wherein the one or more other layers receive as input, output values of the NN channels of a previous layer.