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AoA-Based Local Positioning System Using a Time-Modulated Array

  • Baik, Kyung-Jin (Department of Electrical Engineering, Kookmin University) ;
  • Lee, Sangjoon (Department of Electrical Engineering, Kookmin University) ;
  • Jang, Byung-Jun (Department of Electrical Engineering, Kookmin University)
  • Received : 2017.08.31
  • Accepted : 2017.10.17
  • Published : 2017.10.31

Abstract

In this paper, we propose an angle-of-arrival (AoA)-based local positioning system using a time-modulated array (TMA). The proposed system can determine a two-dimensional position using only two TMAs without any synchronization between the two receivers. The hardware for the proposed system consists of two commercial monopole antennas, a self-designed switch, and a well-known software-defined radio receiver. Furthermore, the location can be simply estimated in real time without the need for complicated positioning algorithms such as the MUSIC and ESPRIT algorithms. In order to evaluate the performance of our system, we estimated the position of the wireless node in an office environment. The position was estimated with a mean error of less than 0.1 m. We therefore believe that our system is appropriate for various wireless local positioning applications.

Keywords

References

  1. Z. Farid, R. Nordin, and M. Ismail, "Recent advances in wireless indoor localization techniques and system," Journal of Computer Networks and Communications, vol. 2013, article ID. 185138, 2013.
  2. H. Liu, H. Darabi, P. Banerjee, and J. Liu, "Survey of wireless indoor positioning techniques and systems," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), vol. 37, no. 6, pp. 1067-1080, 2007. https://doi.org/10.1109/TSMCC.2007.905750
  3. M. Vossiek, L. Wiebking, P. Gulden, J. Wieghardt, C. Hoffmann, and P. Heide, "Wireless local positioning," IEEE Microwave Magazine, vol. 4, no. 4, pp. 77-86, 2003. https://doi.org/10.1109/MMW.2003.1266069
  4. D. Kim, S. Jeong, K. E. Lee, and J. Kang, "Performance analysis of AoA-based localization with software defined radio," in Proceedings of International Global Navigation Satellite Systems (GNSS) Society Symposium, Gold Coast, Australia, 2015.
  5. M. C. Hua, C. H. Hsu, and H. C. Liu, "Implementation of direction-of-arrival estimator on software defined radio platform," in Proceedings of 2012 8th International Symposium on Communication Systems, Networks & Digital Signal Processing (CSNDSP), Poznan, Poland, 2012, pp. 1-4.
  6. C. He, X. Liang, Z. Li, J. Geng, and R. Jin, "Direction finding by time-modulated array with harmonic characteristic analysis," IEEE Antennas and Wireless Propagation Letters, vol. 14, pp. 642-645, 2015. https://doi.org/10.1109/LAWP.2014.2373432
  7. S. Lee, H. Yoon, and B. J. Jang, "Real-time direction finding system using time-modulated array and USRP," in Proceedings of 2017 9th International Conference on Ubiquitous and Future Networks (ICUFN), Milan, Italy, 2016, pp. 794-796.

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