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公开(公告)号:US20230254003A1
公开(公告)日:2023-08-10
申请号:US18188337
申请日:2023-03-22
Applicant: QUALCOMM Incorporated
Inventor: Lindsey Makana KOSTAS , Rishubh KHURANA , Ahmed YOUSSEF , Francisco LEDESMA , Sergey MURASHOV , Viral RANPARA , Enrique DE LA ROSA , Ming LEUNG , Gurkanwal Singh SAHOTA , Shahnaz SHIRAZI
Abstract: Certain aspects of the present disclosure provide techniques and apparatus for calibrating radio frequency (RF) circuits using machine learning. One example method generally includes calibrating a first subset of RF circuit calibration parameters. Values are predicted for a second subset of RF circuit calibration parameters based on a machine learning model and the first subset of RF circuit calibration parameters. The second subset of RF circuit calibration parameters may be distinct from the first subset of RF circuit calibration parameters. At least the first subset of RF circuit calibration parameters is verified, and after the verifying, at least the first subset of RF circuit calibration parameters are written to a memory associated with the RF circuit.