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An Information-Theoretic Framework for Uncertainty Quantification and Sensitivity Analysis in UWB Fuze Transmitters.
Yanbin Liang1, Kaiwei Wu1, Bing Yang1
1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|February 27, 2026
Summary
Component tolerances in Ultra-Wideband (UWB) transmitters distort waveforms, impacting performance. This study introduces an information-theoretic framework to quantify uncertainty propagation and guide precision allocation for robust system design.
Area of Science:
- Electrical Engineering
- Information Theory
- System Reliability
Background:
- Component tolerances in Ultra-Wideband (UWB) fuze transmitters cause waveform distortions.
- These distortions degrade critical system performance metrics like detection range and ranging resolution.
- Existing methods lack quantitative links between component variations and operational effectiveness.
Purpose of the Study:
- To develop an information-theoretic sensitivity analysis framework.
- To establish quantitative mechanisms linking component variations to system performance.
- To enable an entropy-driven precision allocation strategy for robust design.
Main Methods:
- Physics-based mathematical modeling and circuit-level simulation of the transmitter.
- Validation of the step recovery diode's transient response under tolerance variations.
- Application of Latin Hypercube Sampling-Information Entropy (LHS-IE) for uncertainty quantification.
- Introduction of Feature Interaction Information (FII) to analyze nonlinear parameter coupling.
Main Results:
- Inductance tolerances exhibit an amplifying effect, increasing joint uncertainty in amplitude and width.
- Load resistance acts as an independent linear factor, primarily influencing amplitude uncertainty.
- The study quantifies uncertainty propagation from component parameters to pulse features.
Conclusions:
- The proposed framework converts traditional tolerance design into an entropy-driven precision allocation strategy.
- This approach ensures system robustness against manufacturing constraints.
- It provides a theoretical basis for optimizing UWB transmitter design under component variations.
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