- 专利标题: Wireless threat detection device, system, and methods to detect signals in wideband RF systems and localize related time and frequency information based on deep learning
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申请号: US17825304申请日: 2022-05-26
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公开(公告)号: US11743277B2公开(公告)日: 2023-08-29
- 发明人: Naga Raghavendra Surya Vara Prasad Koppisetti , Kevin Bradley D'Souza , Hamidreza Boostanimehr , Shankhanaad Mallick
- 申请人: Skycope Technologies, Inc.
- 申请人地址: CA Burnaby
- 专利权人: Skycope Technologies, Inc.
- 当前专利权人: Skycope Technologies, Inc.
- 当前专利权人地址: CA Burnaby
- 代理机构: Upshaw, Uhrich, Taylor & Dykema, LLC
- 代理商 Keana T. Taylor
- 主分类号: H04L9/40
- IPC分类号: H04L9/40 ; G06N3/08 ; H04W12/128 ; G01R29/02 ; H04K3/00
摘要:
The present invention comprises a novel system and method to detect and estimate the time-frequency span of wireless signals present in a wideband RF spectrum. In preferred embodiments, the Faster RCNN deep learning architecture is used to detect the presence of wireless transmitters from the spectrogram images plotted by searching for rectangular shapes of any size, then localize the time and frequency information from the output of the FRCNN deep learning architecture.
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