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Sensitivity Analysis of Component Parameters in Dual-Channel Time-Domain Correlated UWB Fuze Receivers Under
Yanbin Liang1, Kaiwei Wu1, Bing Yang1
1School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Sensors (Basel, Switzerland)
|August 28, 2025
Summary
Manufacturing variations in ultra-wideband (UWB) receivers degrade performance. This study identifies critical components and quantifies parameter interactions, improving UWB fuze detection accuracy and ranging precision.
Area of Science:
- Electrical Engineering
- Signal Processing
- Reliability Engineering
Background:
- Ultra-wideband (UWB) receivers are crucial for target detection accuracy in fuze systems.
- Manufacturing tolerances and environmental factors introduce parameter variations, degrading receiver performance (SNR, ranging precision).
- Existing methods lack comprehensive analysis of component sensitivities and parameter interactions.
Purpose of the Study:
- To develop a robust UWB fuze detection model that accounts for parameter variations.
- To identify critical sensitive components within the UWB receiver.
- To quantify independent and coupled effects of parameter perturbations on receiver performance.
Main Methods:
- A dual-channel time-domain correlated UWB fuze detection model was proposed.
- An asymmetric tolerance mathematical model was integrated with a Morris-LHS-Sobol collaborative strategy.
- Multidimensional parameter spaces were analyzed to quantify independent effects and coupling interactions.
Main Results:
- Capacitors and resistors were identified as the dominant sources of sensitivity in UWB receivers.
- Significant positive synergistic effects were observed between integrating capacitors and resistors.
- The proposed model and sensitivity analysis method demonstrated superior tolerance resolution and allocation optimization compared to conventional approaches.
Conclusions:
- The study provides an effective method for analyzing and optimizing component tolerances in UWB receivers.
- Accurate identification of sensitive components and understanding of parameter interactions enhance system reliability and performance.
- The findings advance the theoretical characterization of nonlinear coupling effects in complex electronic systems.
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