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Magnetic Anomaly Detection Based on a Compound Tri-Stable Stochastic Resonance System
Jinbo Huang1, Zhen Zheng1, Yu Zhou1
1School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
Sensors (Basel, Switzerland)
|November 25, 2023
Summary
A new compound tri-stable stochastic resonance (CTSR) model improves weak magnetic anomaly detection in noisy environments. This advanced model offers better noise utilization and parameter control than traditional methods.
Area of Science:
- Signal processing
- Nonlinear dynamics
- Geophysics
Background:
- Bi-stable stochastic resonance (BSR) models struggle with parameter coupling for weak signal detection.
- Conventional tri-stable stochastic resonance (TTSR) models exhibit severe system parameter coupling, hindering potential function regulation.
- Strong background noise necessitates advanced models for effective weak signal detection.
Purpose of the Study:
- To propose a novel compound tri-stable stochastic resonance (CTSR) model for enhanced weak magnetic anomaly signal detection.
- To overcome the parameter coupling limitations of conventional tri-stable models.
- To develop a robust detection system with improved noise utilization and parameter adjustability.
Main Methods:
- A compound tri-stable stochastic resonance (CTSR) model was developed by integrating a Gaussian Potential model with a mixed bi-stable model.
- A weak magnetic anomaly signal detection system was designed, incorporating the CTSR system and a statistical analysis-based judgment system.
- System parameters were optimized using a quantum genetic algorithm (QGA) to maximize the output signal-to-noise ratio (SNR).
Main Results:
- The CTSR system demonstrated superior performance compared to traditional tri-stable stochastic resonance (TTSR) and bi-stable stochastic resonance (BSR) systems.
- The CTSR system achieved a detection probability approaching 80% even with an input SNR of -8 dB.
- The developed system successfully detected weak magnetic anomaly signals and preserved information regarding the relative motion (heading) of ferromagnetic targets.
Conclusions:
- The proposed CTSR model effectively addresses parameter coupling issues in tri-stable systems.
- The CTSR system offers significant improvements in weak signal detection under strong background noise conditions.
- This advanced detection system provides a robust solution for identifying magnetic anomalies and target motion information.
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