DOI QR코드

DOI QR Code

해양플랜트 제어 감시용 수중 다중 센서 음향 통신 기법 연구

A study on underwater multiple sensors acoustic communication for offshore plant monitoring

  • Ahn, Tae-Seok (Department of Radio Communication Engineering, Korea Maritime and Ocean University) ;
  • Baek, Chang-Uk (Department of Radio Communication Engineering, Korea Maritime and Ocean University) ;
  • Jung, Ji-Won (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
  • 투고 : 2016.09.02
  • 심사 : 2016.12.09
  • 발행 : 2017.01.31

초록

본 논문에서는 해양 플랜트 수중 구조물의 감시 제어를 위한 수중 다중 센서 음향통신 기법에 대해 분석한다. 각 구조물의 상태 정보는 구조물에 부착된 센서를 통해 정보가 수중으로 전송되며, 여러 구조물의 정보를 동시에 전송 및 수신하는 최적의 기법을 제시한다. 다중 센서를 통해 동일한 주파수를 이용하여 간섭 없이 성능 열화를 감소시키는 대역확산기법을 이용하여 수중 통신 송수신단 구성을 제시하며, 수중에서의 다중 경로로 인한 성능 열화를 감소시키기 위한 RAKE 기반의 수신모델을 제시한다. 본 논문에서는 센서의 갯수를 세 개로 제한하고 센서의 개수에 따른 성능을 시뮬레이션을 통해 제안한 방식의 효율성을 증명하였다.

In this paper, we analyzed underwater multiple sensors acoustic communication technologies for monitoring and control of offshore plants in underwater environments. Information on underwater structure of offshore plants is transmitted and received by multiple sensors at the same time. Using multiple sensors with same frequency, we employed spread spectrum techniques to avoid interferences between these multiple sensors. Owing to the multi-path characteristic in underwater communications, the performance is degraded. In order to improve the performance of underwater multiple sensors communication, we proposed turbo equalized RAKE receiver structures. Assuming that the number of sensors is fixed to three, we conformed the effectiveness of the proposed method as compared to the conventional one.

키워드

참고문헌

  1. M. Stojanovic, J. G. Proakis, J. A. Rice, and M. D. Green, "Spread spectrum underwater acoustic telemetry," IEEE OCEANS '98 Conference Proceedings, vol. 50, pp. 650-654, 1988
  2. Z. Zhao and S. Guo, "Design of an acoustic communication system based on FHMA for multiple underwater vehicle," Scientific Research, vol. 1, no. 1, 2010.
  3. K. Ouertani, S. Saodio, M. Ammar, and S. Houcke, "Performance comparison of RAKE and SIC/RAKE receivers for multiuser underwater acoustic communication applications," IEEE OCEANS 2007-Europe, pp. 1-6, 2007.
  4. L. Freitag and M. Stojanovic, "MMSE acquisition of DSSS acoustic communications signals," OCEANS '04. MTTS/IEEE TECHNO-OCEAN '04, vol. 1, pp. 14-19, 2004.
  5. S. J. Honade and Dr. P. V. Ingole, "Removal of Multiple Access Interference in DS-CDMA System," International Journal of Scientific and Research Publications, vol. 2, pp. 1-6, 2012.
  6. T. C. Yang and W. B. Yang, "Low signal-to-noise-ratio underwater acoustic communication using direct-sequence spread spectrum signals," IEEE Oceans 2007, pp. 821-826, 2007.
  7. M. Stojanovic, J. Catipovic, and J. Proakis, "Phase coferent digital communications for underwater acoustic channel," IEEE Journal of Oceanic Engineering, vol. 19, pp.100-111, 1994. https://doi.org/10.1109/48.289455
  8. F. Blackmon, E. Sozer, M. Stojanovic, J. Proakis, D. P. Shea, and J. E. Mitchell, "Performance comparison of RAKE and hypothesis feedback direct sequence spread spectrum techniques for underwater communication Applications," Proceeding of MTS/IEEE OCEANS, vol. 1, pp. 594-604, 2002.
  9. H. Z. Stefanovic, A. M. Savic, S. D. Veljkovic, and D. N. Milic, "Simulation models of RAKE receiver in DS-CDMA multipath propagation environment," International Journal of Computer and Information Technology, vol. 3, pp. 34-39, 2012.
  10. H. Kulhandjian, T. Melodia, and D. Koutsonikolas, "Securing unserwater acoustic communication through analog network coding," Proceedings of the 2014 Eleventh Annual IEEE International Conference on Sensing, Communication and Networking(SECON), pp. 266-274, 2014.
  11. K. Ouertani, S. Saoudi, M. Ammar, and S. Houcke, "Performance Comparison of RAKE and SIC/RAKE Receiver for Multiuser Underwater Acoustic Communication Applications," IEEE OCEANS 2007-Europe, pp. 1-6, 2007.
  12. K. Berberdis, T. Rontogiannis, and S. Theodoridis, "Efficient block implementation of LMS based DFE," Proceedings of the 13th Digital Signal Processing International Conference, vol. 1, pp. 143-146, 1997.
  13. L. R. Bahl, J. Cocke, F. Jelinek, and J. Raviv, "Optimal decoding of linear codes for minimizing symbol error rate," IEEE Transactions on Information Theory, vol. 20, pp. 284-287, 1974.
  14. K. Berberdis, T. Rontogiannis, and S. Theodoridis, "Efficient block implementation of the LMS based DFE," Digital Signal Processing Proceedings, vol. 1, pp. 143-146, 1997.