KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A Self-Calibrated Localization System using Chirp Spread Spectrum in a Wireless Sensor Network

  • Kim, Seong-Joong (School of Computer Science and Engineering, Soongsil University) ;
  • Park, Dong-Joo (School of Computer Science and Engineering, Soongsil University)
  • Received : 2012.06.04
  • Accepted : 2013.01.20
  • Published : 2013.02.28
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Abstract

To achieve accurate localization information, complex algorithms that have high computational complexity are usually implemented. In addition, many of these algorithms have been developed to overcome several limitations, e.g., obstruction interference in multi-path and non-line-of-sight (NLOS) environments. However, localization systems those have complex design experience latency when operating multiple mobile nodes occupying various channels and try to compensate for inaccurate distance values. To operate multiple mobile nodes concurrently, we propose a localization system with both low complexity and high accuracy and that is based on a chirp spread spectrum (CSS) radio. The proposed localization system is composed of accurate ranging values that are analyzed by simple linear regression that utilizes a Big-$O(n^2)$ of only a few data points and an algorithm with a self-calibration feature. The performance of the proposed localization system is verified by means of actual experiments. The results show a mean error of about 1 m and multiple mobile node operation in a $100{\times}35m^2$ environment under NLOS condition.

Keywords

References

  1. Hoshino, S., Ota, J., Shinozaki, A, and Hashimoto, H, "Hybrid Design Methodology and Cost-Effectiveness Evaluation of AGV Transportation Systems," IEEE Transactions on Automation Science and Engineering, vol. 4, pp. 360-372, July, 2007. . https://doi.org/10.1109/TASE.2006.887162
  2. Xiaojing Huang, and Guo, Y.J., "Frequency-Domain AoA Estimation and Beamforming with Wideband Hybrid Arrays," IEEE Transactions on Wireless Communications, vol. 10, no. 8, pp. 2543-2553, August, 2011. https://doi.org/10.1109/TWC.2011.062211.100439
  3. Stoica, L, Rabbachin, A., and Oppermann, I., "A low-complexity noncoherent IR-UWB transceiver architecture with TOA estimation," IEEE Transactions on Microwave Theory and Techniques, vol. 54, no. 4, pp. 1637-1646, June, 2006. https://doi.org/10.1109/TMTT.2006.872056
  4. Chuan-Chin Pu and Wan-Young Chung, "Mitigation of Multipath Fading Effects to Improve Indoor RSSI Performance," IEEE Sensors Journal, vol. 8, no. 11, pp. 1884-1886, November, 2008. https://doi.org/10.1109/JSEN.2008.2006453
  5. Yu, K. and Guo, Y.J., "Statistical NLOS Identification Based on AOA, TOA, and Signal Strength," IEEE Transactions on Vehicular Technology, vol. 58, no. 1, pp. 274-286, January, 2009. https://doi.org/10.1109/TVT.2008.924975
  6. Peter J.Voltz and David Hemandez, "Maximum likelihood time of arrival estimation for real-time physical location tracking of 802.11 a/g mobile stations in indoor environments," Position Location and Navigation Symposium, pp.585-591, April 26-29, 2004.
  7. Xinrong Li and Kaveh Pahlavan, "Super-resolution TOA estimation with diversity for indoor geolocation," IEEE Transactions on Wireless Communications, vol. 3, no. 1, pp. 224-234, January, 2004. https://doi.org/10.1109/TWC.2003.819035
  8. Fontana, R.J., Richley, E., and Barney, J. "Commercialization of an ultra wideband precision asset location system," in Proc. of IEEE conference on Ultra wideband Systems and Technologies, pp. 369-373, November, 2003.
  9. Hernandez, A., Badorrey, R., Choliz, J., Alastruey, I., and Valdovinos, A., "Accurate indoor wireless location with IR UWB systems a performance evaluation of joint receiver structures and TOA based mechanism," IEEE Transactions on Consumer Electronics, vol. 54, no. 2, pp. 381-389, May, 2008. https://doi.org/10.1109/TCE.2008.4560103
  10. Hyeonwoo Cho and Sang Woo Kim, "Mobile Robot Localization Using Biased Chirp-Spread Spectrum Ranging," IEEE Transactions on Industrial Electronics, vol. 57, no. 8, pp. 2826-2835, August, 2010. https://doi.org/10.1109/TIE.2009.2036633
  11. Youngbae Kon, Yonggoo Kwon, Gwitae Park, "Robust Localization over Obstructed Interferences for Inbuilding Wireless Applications," IEEE Transactions on Consumer Electronics, vol. 55, pp. 105-111, April, 2009. https://doi.org/10.1109/TCE.2009.4814421
  12. IEEE P802.15.4a/D4 (Amendment of IEEE Std 802.15.4), "Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LRWPANs)," August, 2007.
  13. K. Yedavalli, B. Krishnamachari, S. Ravula, and B. Srinivasan,"Ecolocation: A Sequence Based Technique for RF Localization in Wireless Sensor Networks," in Proc. of 4th Int. Conf. on Information Processing in Sensor Networks, pp. 285-292, April 25-27, 2005.
  14. K. Yedavalli and B. Krishnamachari. "Sequence-Based Localization in Wireless Sensor Networks," IEEE Transactions on Mobile Computing, vol. 7, no. 1, pp. 81-94, January, 2008. https://doi.org/10.1109/TMC.2008.4387797
  15. Nanotron Technologies GmbH, nanoLOC TRX Transceiver (NA5TR1) Datasheet, NA-06-0230-0388-2.00, Apr. 2008.
  16. T.S. Rappaport, Wireless communications: Principles and Practice, 2nd Edition, Prentice Hall, 2002.

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