Signal Path Bias Error Detector for Sensor Networks
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Solution Overview
Problem
Signal processing path bias errors are unstable and difficult to measure accurately, especially over time, due to variations in the signal path and thermal gradients, making it challenging to determine and account for these errors in systems like accelerometers and other sensor networks.
Innovation Solution
The method involves extracting and inverting a reference signal to compare it with the carrier signal after processing, allowing for the detection and compensation of signal-path processing errors by identifying and isolating the bias introduced by signal-processing components, which can be quickly reversed to isolate errors from sensor networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bias measurement is performed over long periods to account for stability, then measurement accuracy is improved, but measurement time and system complexity increase
Solution Approach 1:
The patent applies preliminary action by performing bias measurements at multiple time points during system operation to establish bias stability characteristics. By proactively measuring bias at different times rather than waiting for extended periods, the system captures stability information without requiring excessively long measurement durations, thus resolving the contradiction between measurement accuracy and time consumption.
2Measurement precision
If signal processing path bias is measured to determine stability, then measurement accuracy is improved, but device complexity increases
Solution Approach 1:
The patent introduces an intermediary approach by using a dedicated bias measurement module that separates the bias measurement function from the main signal processing path. This modular intermediary component performs bias measurements independently, reducing the complexity of the overall signal processing system while maintaining accurate bias stability measurement capabilities.
3Reliability
If bias is measured at multiple time points to determine stability, then bias stability assessment is improved, but processing time increases
Solution Approach 1:
The patent applies continuity of useful action by implementing continuous or near-continuous bias measurement during normal signal processing operations. Rather than performing discrete, time-consuming bias measurements, the system continuously monitors bias variations, allowing reliable stability assessment without significant processing time penalties. This continuous measurement approach ensures that bias stability is always up-to-date while minimizing impact on overall system performance.
Data Source
AI summary
The present invention detects, determines, and mitigates signal-path processing errors. An extracted and inverted reference signal is compared to the carrier signal produced by various functional components to determine the error introduced to that signal by functional components. After the signal has been processed by various signal-processing components, the signal can once again be compared to the inverted reference signal so that a signal-path processing bias can be determined. Using that determination, a signal modification can be initiated to substantially reduce or eliminate all signal-path processing error.