RF Circuit Calibration Clustering for Scalable Path Tuning
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Solution Overview
Problem
The increasing complexity of radio frequency (RF) circuits, particularly in supporting new functionalities and frequency bands, leads to resource-intensive calibration processes due to the need to calibrate numerous parameters, which becomes non-scalable and computationally demanding.
Innovation Solution
A method using machine learning-based clustering to identify groups of calibration paths with similar performance characteristics, allowing calibration of RF circuits by applying representative calibration parameter sets to entire clusters, reducing the number of individual calibrations required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional individual calibration is performed for each calibration path in RF circuits, then calibration accuracy and performance are maintained, but computing resources and time required for calibration increase significantly
Solution Approach 1:
The patent groups multiple calibration paths into clusters based on similarity of their performance characteristics. Calibration operations that were previously performed individually on each path are now merged into cluster-level operations, where a representative calibration path is selected and calibrated once, and its calibration parameters are applied to all paths in the cluster. This merging approach maintains calibration accuracy while significantly reducing the number of calibration operations required.
Solution Approach 2:
The patent creates universal calibration parameter sets that can be applied across multiple calibration paths within a cluster. Instead of creating path-specific calibration parameters, the system develops universal calibration solutions that work for groups of paths with similar characteristics, thereby reducing redundancy and improving calibration efficiency without sacrificing accuracy.
2Adaptability or versatility
If the number of calibration parameters is increased to support new functionalities and frequency bands, then RF circuit functionality and versatility are improved, but calibration complexity and resource requirements increase
Solution Approach 1:
The patent segments the large set of calibration paths into multiple smaller clusters based on similarity metrics. This segmentation allows the calibration system to handle complex RF circuits with multiple functionalities and frequency bands by dividing the calibration task into manageable cluster-level operations, thereby reducing overall calibration complexity while maintaining support for diverse functionalities.
Solution Approach 2:
The patent changes the calibration approach from individual path parameters to cluster-level representative parameters. By selecting representative calibration paths and using their calibration parameters for entire clusters, the system reduces the number of parameters that need to be managed and calibrated, thereby reducing calibration complexity while supporting multiple frequency bands and functionalities.
Data Source
AI summary
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.