- 专利标题: Angle of arrival using machine learning
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申请号: US16587221申请日: 2019-09-30
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公开(公告)号: US11415657B2公开(公告)日: 2022-08-16
- 发明人: Antonio Torrini , Sebastian Ahmed , Joel Kauppo , Sauli Johannes Lehtimaki
- 申请人: Silicon Laboratories Inc.
- 申请人地址: US TX Austin
- 专利权人: Silicon Laboratories Inc.
- 当前专利权人: Silicon Laboratories Inc.
- 当前专利权人地址: US TX Austin
- 代理机构: Nields, Lemack & Frame, LLC
- 主分类号: G01S3/04
- IPC分类号: G01S3/04 ; G06N3/08 ; G01S3/28 ; G01S3/48
摘要:
A system and method of determining the angle of arrival or departure using a neural network is disclosed. The system collects a plurality of I and Q samples as a packet containing a constant tone extension is being received. The I and Q samples are used to form I and Q arrays, which are used as the input to the neural network. The neural network produces a first output representative of the azimuth angle and a second output representative of the elevation angle. In certain embodiments, the neural network is capable of detecting a plurality of angles, where, for each angle, there are three outputs, a first output representative of the azimuth angle, a second output representative of the elevation angle and a third output representative of the relative amplitude. In some embodiments, the neural network is configured to determine the carrier frequency offset of an incoming signal as well.
公开/授权文献
- US20210096207A1 Angle of Arrival Using Machine Learning 公开/授权日:2021-04-01
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