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논문검색

Algorithm and Accuracy Evaluation of Autonomous Bionic Positioning Method based on Skylight Polarization

초록

영어

As the skylight polarization navigation at present is based on dead reckoning which can only provide orientation information to navigate or relative position but not the absolute location of the observer, in this paper, a bionic absolute positioning method based on skylight polarization was proposed: the longitude and latitude of the current position could be solved through the polarization angle of the skylight, the course angle of the vehicle, the relative relationship between the solar and the earth. In addition, the simulation verification provided an accuracy of 0.483km in average. A positioning error model was developed, and the simulation shows that the precision of the sensors has a great impact on the positioning accuracy. Finally, the initial outdoor tests give a longitude accuracy of -0.149º in average and a latitude accuracy of 0.418º in average. Although the positioning accuracy obtained from the experiment is no better than the existing positioning systems, such as GPS, the proposed positioning method which is totally autonomous, convenient and without accumulated error is still worth to be improved since it would be useful when manmade positioning systems are disabled.

목차

Abstract
 1. Introduction
 2. Mechanism of Polarization Navigation of Desert Ant Cataglyphis
 3. Bionic Positioning Algorithm
  3.1. Positioning Procedure
  3.2. Navigation Triangle
  3.3. Algorithm Derivation
 4. Simulation Verification
 5. Positioning Error Model
 6. Accuracy Evaluation
  6.1. The Impact of Precision of the Sensors on Positioning Accuracy
  6.2. The Impact of the Accuracy of Solar Declination Δ On Positioning Accuracy
  6.3. The Impact of the Location of Observer on Positioning Accuracy
 7. Experiment
  7.1. The Structure of the Bionic Positioning System
  7.2. Experiment Result
 8. Conclusion
 Acknowledgements
 References

저자정보

  • Zhen Cheng Department of Automation, University of Science and Technology of China
  • Tao Mei Department of Automation, University of Science and Technology of China
  • Huawei Liang Department of Automation, University of Science and Technology of China
  • Daobin Wang Hefei Institutes of Physical Science, China Academy of Science

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