Oscilloscope PSD Noise Compensation Across Changing Measurement Configurations
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Solution Overview
Problem
Existing oscilloscopes require cumbersome and inflexible manual recalibration for noise compensation due to changes in configuration, such as voltage scale or filter settings, leading to inaccurate DUT measurements.
Innovation Solution
Characterize oscilloscope noise using power spectral density (PSD) models, storing them in a database, and apply these models dynamically to compensate for noise based on real-time measurement configurations, including user-controlled filtering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual noise characterization is performed for each oscilloscope configuration, then measurement accuracy is improved, but calibration time and operational complexity increase significantly
Solution Approach 1:
The system performs preliminary noise characterization by measuring the noise floor of the oscilloscope across multiple configurations in advance. These pre-measured noise characteristics are stored in a database, allowing the system to retrieve and apply appropriate compensation values without performing new measurements during actual use. This eliminates the need for time-consuming manual recalibration when configurations change.
Solution Approach 2:
The system dynamically selects and applies noise compensation values based on the current oscilloscope configuration. By maintaining a database of pre-characterized noise profiles for different configurations and automatically selecting the appropriate profile based on current settings, the system adapts to configuration changes without requiring manual recalibration, thus resolving the contradiction between accuracy and time consumption.
2Measurement precision
If noise compensation is customized for each specific configuration, then measurement accuracy is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system automatically manages noise compensation without requiring user intervention. When the oscilloscope configuration changes, the system autonomously identifies the new configuration, retrieves the corresponding pre-characterized noise profile from the database, and applies the appropriate compensation. This self-service approach eliminates the need for users to manually perform complex calibration procedures while maintaining high measurement accuracy.
Solution Approach 2:
The system creates a universal noise compensation solution that handles multiple different oscilloscope configurations through a single integrated approach. By pre-characterizing noise across various configurations and implementing an automatic selection mechanism, the system provides accurate noise compensation for all configurations without requiring separate manual calibration procedures for each one, thus improving ease of operation while maintaining accuracy.
3Adaptability or versatility
If comprehensive noise characterization is performed across all configurations, then adaptability is improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The system extracts and stores only the essential noise characteristics for each oscilloscope configuration in a structured database format. By identifying and storing only the relevant noise parameters rather than complete raw measurement data, the system achieves comprehensive adaptability across configurations while minimizing data storage requirements. The extracted noise profiles contain only the necessary information for compensation calculations.
Data Source
AI summary
A method of dynamically determining an oscilloscope noise characteristic includes retrieving a power spectral density (PSD) model of noise from a storage based upon a current configuration of the oscilloscope, generating a representation of any filtering being applied to a waveform generated by a device under test, using the PSD and the representation to produce a modified power spectral density, and using the modified power spectral density to determine a dynamic oscilloscope noise characteristic. A test and measurement instrument has one or more inputs to acquire waveforms from a device under test (DUT), one or more processors to retrieve a power spectral density (PSD) model of noise from a database, generate a representation of any filtering being applied to a waveform generated by the DUT, use the PSD and the representation to produce a modified PSD, and use the modified PSD to determine a dynamic instrument noise characteristic.