Invention Application
- Patent Title: ENVIRONMENT-LEARNING FALSE RADAR DETECTION
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Application No.: US17167617Application Date: 2021-02-04
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Publication No.: US20220244345A1Publication Date: 2022-08-04
- Inventor: Jean-Francois Gagnon , Myung Cheol Kim , Andre Beaudin
- Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Applicant Address: US TX Houston
- Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP
- Current Assignee Address: US TX Houston
- Main IPC: G01S7/02
- IPC: G01S7/02 ; G01S7/292

Abstract:
Systems and methods are provided for learning radio frequency pulses transmitted at various frequencies in a wireless environment, including false radar signals and actual radar. For example, the system can keep a list of radio frequency pulse characteristics detected by access points (APs) but ignored when not declared a radar. The detected radio frequency pulse can be compared with those on the list and may be added to the deny-list if not radar. The AP learns what intervals are normal for the communication environment and if the noise someday looks like a real radar (but it not actually a radar), it will not be classified as radar because it is on the deny-list.
Public/Granted literature
- US11852743B2 Environment-learning false radar detection Public/Granted day:2023-12-26
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