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Bionic Integrated Positioning Mechanism Based on Bioinspired Polarization Compass and Inertial Navigation System
Qingyun Zhang1, Jian Yang1,2,3, Panpan Huang3
1School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.
Sensors (Basel, Switzerland)
|February 9, 2021
Summary
This study introduces a novel bionic autonomous positioning system that integrates an inertial navigation system (INS) with a bioinspired polarization compass. The new system effectively compensates for INS position errors, enhancing navigation accuracy.
Area of Science:
- Robotics and Navigation
- Bio-inspired Computing
- Sensor Fusion
Background:
- Inertial Navigation Systems (INS) suffer from accumulating positioning errors over time.
- Accurate and environmentally adaptable positioning is crucial for autonomous systems.
- Bio-inspired approaches offer novel solutions for navigation challenges.
Purpose of the Study:
- To propose a bionic autonomous positioning mechanism integrating INS with a bioinspired polarization compass.
- To address the accumulative error problem in INS positioning.
- To enhance the accuracy and environmental adaptability of integrated positioning systems.
Main Methods:
- Developed a bioinspired positioning system hardware and integration model.
- Presented a sun elevation calculating method using degree of polarization (DoP) and E-vector direction.
- Established a bioinspired positioning system model combining a polarization compass and INS to compensate for INS latitude and longitude errors.
Main Results:
- The proposed system demonstrated satisfactory performance in compensating for INS position errors.
- Outdoor experiments validated the effectiveness of the integrated bioinspired positioning system.
- The sun elevation calculation method proved effective for improving positioning accuracy.
Conclusions:
- The novel bionic autonomous positioning system successfully compensates for INS errors.
- The integration of a bioinspired polarization compass offers a viable solution for enhanced navigation.
- The proposed system shows promise for applications requiring robust and accurate positioning.
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