17808745. MACHINE LEARNING-BASED RADIO FREQUENCY CIRCUIT CALIBRATION simplified abstract (QUALCOMM Incorporated)

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MACHINE LEARNING-BASED RADIO FREQUENCY CIRCUIT CALIBRATION

Organization Name

QUALCOMM Incorporated

Inventor(s)

Tharun Adithya Srikrishnan of La Jolla CA (US)

Intae Kang of San Diego CA (US)

Supratik Bhattacharjee of San Diego CA (US)

Christos Komninakis of Solana Beach CA (US)

Michael Lee Mccloud of San Diego CA (US)

Gautham Hariharan of Sunnyvale CA (US)

Minkui Liu of San Diego CA (US)

Gary John Ballantyne of Christchurch (NZ)

MACHINE LEARNING-BASED RADIO FREQUENCY CIRCUIT CALIBRATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17808745 titled 'MACHINE LEARNING-BASED RADIO FREQUENCY CIRCUIT CALIBRATION

Simplified Explanation

The patent application describes techniques for identifying a minimal set of representative calibration paths in radio frequency (RF) circuits and calibrating other calibration paths based on calibration codes used for the representative calibration paths.

  • The method involves receiving a calibration data set with measurements for each calibration path in an RF circuit.
  • A clustering model is used to generate multiple calibration clusters based on the calibration data set.
  • A representative calibration path is selected from each calibration cluster, and calibration codes generated for the representative path can be applied to other paths in the same cluster.
  • A lookup table is generated to associate each calibration path with other paths in its respective calibration cluster.

Potential Applications

  • RF circuit calibration in wireless communication systems
  • Calibration of antennas, transmitters, and receivers in RF devices
  • Optimization of RF circuit performance in various applications

Problems Solved

  • Reducing the number of calibration paths required for RF circuits
  • Simplifying the calibration process by using representative paths and calibration codes
  • Improving the efficiency and accuracy of RF circuit calibration

Benefits

  • Minimizes the time and resources needed for RF circuit calibration
  • Enables faster and more efficient calibration of RF devices
  • Improves the overall performance and reliability of RF circuits.


Original Abstract Submitted

Certain aspects of the present disclosure provide techniques for identifying a minimal, or at least reduced, set of representative calibration paths in radio frequency (RF) circuits and calibrating other calibration paths based on calibration codes used for the representative calibration paths. An example method generally includes receiving a calibration data set including measurements associated with each calibration path of a plurality of calibration paths in an RF circuit. Based on a clustering model and the calibration data set, a plurality of calibration clusters is generated. From each respective calibration cluster of the plurality of calibration clusters, a respective representative calibration path for is selected for the respective calibration cluster. Generally, calibration codes generated for the representative calibration path are applicable to other calibration paths in the calibration cluster. A lookup table is generated associating a respective calibration path with other calibration paths in each respective calibration cluster.