Invention Grant
- Patent Title: FMCW radar with interference signal suppression using artificial neural network
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Application No.: US16817385Application Date: 2020-03-12
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Publication No.: US11885903B2Publication Date: 2024-01-30
- Inventor: Paul Meissner , Elmar Messner , Franz Pernkopf , Johanna Rock , Mate Andras Toth
- Applicant: Infineon Technologies AG
- Applicant Address: DE Neubiberg
- Assignee: Infineon Technologies AG
- Current Assignee: Infineon Technologies AG
- Current Assignee Address: DE Neubiberg
- Agency: Harrity & Harrity, LLP
- Priority: DE 2019106529.1 2019.03.14
- Main IPC: G01S7/02
- IPC: G01S7/02 ; G01S7/41 ; G01S7/35 ; G06N3/045 ; G01S13/931 ; G01S7/36 ; G06N3/08 ; G01S13/34

Abstract:
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.
Public/Granted literature
- US20200292660A1 FMCW RADAR WITH INTERFERENCE SIGNAL SUPPRESSION USING ARTIFICIAL NEURAL NETWORK Public/Granted day:2020-09-17
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