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A Multi-Sensor Stochastic Energy-Based Vibro-Localization Technique with Byzantine Sensor Elimination.
Murat Ambarkutuk1, Sa'ed Alajlouni2, Pablo A Tarazaga3
1The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Sensors (Basel, Switzerland)
|December 9, 2023
Summary
This study introduces a novel indoor occupant localization method using floor vibrations. A Byzantine sensor elimination algorithm improves accuracy by removing unreliable sensor data.
Area of Science:
- Engineering
- Computer Science
- Signal Processing
Background:
- Indoor localization is challenging due to complex wave propagation and sensor noise.
- Existing methods struggle with signal acquisition errors and unreliable sensor data.
Purpose of the Study:
- To develop a robust occupant localization technique using structural floor vibrations.
- To address uncertainties and deceptive sensor data in vibration-based localization.
Main Methods:
- Analyzing structural floor vibrations caused by footsteps for occupant localization.
- Implementing a likelihood function fusion for consensual localization.
- Introducing a Byzantine sensor elimination (BSE) algorithm to filter erroneous sensor data.
Main Results:
- The proposed technique significantly minimizes errors during signal acquisition.
- The BSE algorithm effectively prevents deceptive sensor data from impacting localization.
- Empirical results show a 30% improvement in accuracy and precision over baseline methods.
Conclusions:
- Vibration-based occupant localization is feasible and can be enhanced with robust algorithms.
- The BSE algorithm is crucial for reliable indoor localization in the presence of faulty sensors.
- This approach offers a promising solution for accurate and precise indoor positioning.
