RF Device Parameter Adjustment with Model-Guided Robotic Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Adjusting the radio frequency characteristics of traditional amplifiers is challenging due to impedance matching and material errors, requiring manual adjustments based on operator experience, which is inefficient and dependent on proficiency.
Innovation Solution
A parameter adjustment method and system using a robotic arm and a parameter adjustment model, which includes a classifier layer in an unsupervised learning model, to automate the adjustment process by inputting testing signals, determining return loss, and generating adjustment schemes based on a semi-supervised learning model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual adjustment based on operator experience is used, then the radio frequency characteristics can be adjusted, but the adjustment efficiency is low and highly dependent on operator proficiency
Solution Approach 1:
The patent replaces manual mechanical adjustment operations with an automated robotic arm system. The robotic arm performs precise physical adjustments of RF components based on control signals from a parameter adjustment model, eliminating the need for manual operator intervention and experience-dependent adjustments.
Solution Approach 2:
The patent uses a parameter adjustment model that automatically determines optimal RF parameters (such as impedance values, component settings) based on testing signals and return loss measurements. The model generates adjustment schemes that change physical parameters of the RF device to achieve desired performance characteristics.
2Productivity
If automated parameter adjustment is implemented, then adjustment efficiency improves and operator experience dependency decreases, but system complexity increases due to the parameter adjustment model and robotic arm integration
Solution Approach 1:
The patent introduces a parameter adjustment model as an intermediary between the testing device and the robotic arm. This model processes testing signals, analyzes return loss characteristics, and generates adjustment schemes, thereby mediating the complex interactions between measurement and adjustment operations.
Solution Approach 2:
The patent implements a closed-loop feedback system where the testing device measures return loss, the parameter adjustment model processes the measurement results, and the robotic arm executes adjustments based on the generated schemes. The system iteratively refines adjustments by re-measuring and re-adjusting until optimal performance is achieved.
Data Source
AI summary
A parameter adjustment method includes: inputting a testing signal into a radio frequency (RF) device to obtain an output signal generated by the RF device, using the output signal as a target signal to perform a determination procedure, wherein the determination procedure includes: determining whether a return loss of the target signal matches default specifications, inputting the target signal into a parameter adjustment model to obtain an adjustment scheme when the return loss does not match any one of the default specifications, wherein the adjustment scheme indicates an update electric parameter of the RF device, obtaining another output signal corresponding to the adjustment scheme from the RF device, using the another output signal as the target device to perform the determination procedure, and outputting a test result when the return loss matches the default specifications.