发明申请
- 专利标题: MACHINE LEARNING-BASED ANTENNA ARRAY VALIDATION, PROTOTYPING AND OPTIMIZATION
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申请号: US17716888申请日: 2022-04-08
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公开(公告)号: US20220294126A1公开(公告)日: 2022-09-15
- 发明人: Aidan SMYTH , Kiran ULN , Victor SIMILEYSKY , Zhuohui ZHANG
- 申请人: Cypress Semiconductor Corporation
- 申请人地址: US CA San Jose
- 专利权人: Cypress Semiconductor Corporation
- 当前专利权人: Cypress Semiconductor Corporation
- 当前专利权人地址: US CA San Jose
- 主分类号: H01Q21/24
- IPC分类号: H01Q21/24 ; H04L27/36 ; H01Q3/26
摘要:
An example method of estimating the angular resolution of antenna array comprises: receiving a plurality of values of magnitude and phase of a radio frequency (RF) signal for each antenna element of a plurality of antenna elements comprised by an antenna array; performing, by a machine learning model, a feature extraction operation to transform the plurality of values of magnitude and phase into a plurality of data points in a reduced-dimension space; clustering, by the machine learning model, the plurality of data points into a plurality of clusters; and computing, based on the clustered data points, an angular resolution value for the antenna array.
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