Invention Grant
- Patent Title: Radio frequency sensor system incorporating machine learning system and method
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Application No.: US16247703Application Date: 2019-01-15
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Publication No.: US11215102B2Publication Date: 2022-01-04
- Inventor: Paul A. Ragaller , Alexander G. Sappok , Leslie Bromberg
- Applicant: CTS Corporation
- Applicant Address: US IL Lisle
- Assignee: CTS Corporation
- Current Assignee: CTS Corporation
- Current Assignee Address: US IL Lisle
- Agent Daniel Deneufbourg
- Main IPC: F01N9/00
- IPC: F01N9/00 ; F01N3/021 ; G05D11/13 ; G01N7/14 ; G07C5/00 ; F01N13/00 ; G01N15/06 ; F01N11/00 ; G01N33/00 ; G01R1/067 ; G01N15/00 ; G01N35/00

Abstract:
A radio frequency sensor system comprising a housing defining a resonant cavity. Radio frequency probe(s) in the cavity transmit and/or receive radio frequency signals. A radio frequency control unit is in communication with the radio frequency probe(s) for determining one or more states of the radio frequency sensor system based on changes in the characteristics of the radio frequency signals. A machine learning system is in communication with the radio frequency control unit for identifying and developing transfer functions and calibrations based on the changes in the characteristics of the radio frequency signals and determining the one or more states of the radio frequency sensor system.
Public/Granted literature
- US20190218954A1 Radio Frequency Sensor System Incorporating Machine Learning System and Method Public/Granted day:2019-07-18
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