Error Factor Determination for Signal Generation Calibration
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Solution Overview
Problem
In signal generation systems, particularly switch-branch signal sources, calibration errors such as Ed, Er1, Er2, and Es can change over time due to secular changes or system failures, making precise correction of circuit parameters challenging without frequent measurements.
Innovation Solution
An error factor determination device that records and verifies error factors by deriving reflection coefficients and amplification factors, allowing for true/false determination to assess the validity of recorded values, thereby facilitating efficient calibration and reducing the need for frequent measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If error factors are recorded and reused for correction, then productivity is improved by avoiding frequent measurements, but measurement precision deteriorates due to secular changes and system failures affecting recorded values
Solution Approach 1:
The system performs preliminary measurement of error factors and stores them for future use. By measuring error factors in advance and reusing them, the system avoids frequent recalibration operations while maintaining correction accuracy through validity verification mechanisms.
Solution Approach 2:
The system implements feedback by measuring reflection coefficients and comparing them against expected values to determine the validity of recorded error factors. This feedback loop ensures that outdated or inaccurate error factors are detected and trigger recalibration, maintaining measurement precision while minimizing unnecessary recalibration operations.
2Measurement precision
If actual measurement of error factors is performed each time, then measurement precision is maintained, but productivity deteriorates due to the trouble and time required for frequent measurements
Solution Approach 1:
Error factors are measured in advance and stored for subsequent corrections. This preliminary action eliminates the need for repeated measurements while maintaining accuracy through validity checks using reflection coefficient measurements.
Solution Approach 2:
The system uses its own measurement capabilities to verify the validity of stored error factors by measuring reflection coefficients. This self-verification mechanism allows the system to autonomously determine when recalibration is necessary, balancing precision and productivity.
3Measurement precision
If calibration is performed frequently, then measurement precision is improved, but loss of time increases due to repeated calibration operations
Solution Approach 1:
Error factors are measured and stored in advance, allowing multiple corrections to be performed without repeated calibration operations. This preliminary action significantly reduces calibration time while maintaining precision through validity verification.
Solution Approach 2:
The system performs quick validity checks by measuring reflection coefficients to determine whether stored error factors are still accurate. This feedback mechanism enables the system to use stored error factors when valid (saving time) and trigger recalibration only when necessary (maintaining precision).
Data Source
AI summary
An error factor determination device includes an error factor recording unit which records error factors Eija in a signal generation system which includes a signal generation unit for generating a signal and an output terminal for outputting the signal, a reflection coefficient deriving unit which derives a reflection coefficient Xm of the output terminal based on measurement results R1 and R2 of the signal while the signal is being output from the output terminal and the error factors Eija recorded in the error factor recording unit, and a true/false determination unit which determines whether the recorded error factors Eija are true or false based on the derived reflection coefficient Xm, and a true value of the reflection coefficient.