US 11,885,903 B2
FMCW radar with interference signal suppression using artificial neural network
Paul Meissner, Feldkirchen bei Graz (AT); Elmar Messner, Graz (AT); Franz Pernkopf, Graz (AT); Johanna Rock, Graz (AT); and Mate Andras Toth, Graz (AT)
Assigned to Infineon Technologies AG, Neubiberg (DE)
Filed by Infineon Technologies AG, Neubiberg (DE)
Filed on Mar. 12, 2020, as Appl. No. 16/817,385.
Claims priority of application No. 102019106529.1 (DE), filed on Mar. 14, 2019.
Prior Publication US 2020/0292660 A1, Sep. 17, 2020
Int. Cl. G01S 7/02 (2006.01); G01S 7/41 (2006.01); G01S 7/35 (2006.01); G06N 3/045 (2023.01); G01S 13/931 (2020.01); G01S 7/36 (2006.01); G06N 3/08 (2023.01); G01S 13/34 (2006.01)
CPC G01S 7/023 (2013.01) [G01S 7/354 (2013.01); G01S 7/417 (2013.01); G01S 7/356 (2021.05); G01S 7/36 (2013.01); G01S 13/343 (2013.01); G01S 13/931 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A radar device, comprising:
a radar receiver that is designed to receive a radio-frequency (RF) radar signal associated with a plurality of frequency modulated chirps and, based thereon, to generate a digital signal that comprises a plurality of signal segments; and
a neural network having a plurality of layers each having one or more neurons,
wherein the plurality of signal segments are fed to an input layer of the plurality of layers and wherein the plurality of layers are designed to process the plurality of signal segments of the digital signal,
wherein an output layer of the plurality of layers, has at least one neuron that delivers an output value that indicates whether a respective signal segment or a sample of the respective signal segment is overlaid with an interfering signal originating from at least one radar transmitter of at least one other radar device,
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 one or more NN channels of a previous layer.