Invention Grant
- Patent Title: Parametric CNN for radar processing
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Application No.: US16905335Application Date: 2020-06-18
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Publication No.: US11774553B2Publication Date: 2023-10-03
- Inventor: Avik Santra , Thomas Reinhold Stadelmayer
- Applicant: Infineon Technologies AG
- Applicant Address: DE Neubiberg
- Assignee: Infineon Technologies AG
- Current Assignee: Infineon Technologies AG
- Current Assignee Address: DE Neubiberg
- Agency: Slater Matsil, LLP
- Main IPC: G01S7/41
- IPC: G01S7/41 ; G01S13/89 ; G01S13/06 ; G06N3/08 ; G06N3/045 ; G01S13/02 ; G01S13/32 ; G01S7/285 ; G01S13/34 ; G01S7/35

Abstract:
In an embodiment, a method includes: transmitting a plurality of radar signals using a millimeter-wave radar sensor towards a target; receiving a plurality of reflected radar signals that correspond to the plurality of transmitted radar signals using the millimeter-wave radar; mixing a replica of the plurality of transmitted radar signals with the plurality of received reflected radar signals to generate an intermediate frequency signal; generating raw digital data based on the intermediate frequency signal using an analog-to-digital converter; processing the raw digital data using a constrained L dimensional convolutional layer of a neural network to generate intermediate digital data, where L is a positive integer greater than or equal to 2, and where the neural network includes a plurality of additional layers; and processing the intermediate digital data using the plurality of additional layers to generate information about the target.
Public/Granted literature
- US20210396843A1 Parametric CNN for Radar Processing Public/Granted day:2021-12-23
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