Browse > Article
http://dx.doi.org/10.6109/jkiice.2019.23.11.1434

Performance Analysis of OFDM-based Underwater Acoustic Communication System by Repeated Transmit Diversity Technique  

Chae, Kwang-Young (Department of Array Signal Processing, Hoseo University)
Ko, Hak-Lim (Department of Array Signal Processing, Hoseo University)
Kim, Min-Sang (Department of Array Signal Processing, Hoseo University)
Cho, Yong-Ho (Oceanic IT Convergence Technology Research Center, Hoseo University)
Im, Tae-Ho (Oceanic IT Convergence Technology Research Center, Hoseo University)
Abstract
In this paper, the channel change was continuously measured for 24 hours from July 5, 2017 on the coast near Deokjeok-do, Incheon. The underwater channel has various channel environment characteristics as the change in the time axis and the change in the frequency axis occurs in real time, and the underwater communication performance decreases due to the multipath fading and the Doppler effect. Therefore, in this study, we performed the OFDM system performance analysis in the underwater channel environment by applying the repetitive transmission diversity scheme in the time and frequency domain to improve the communication performance in the real-world underwater communication environment. Using the collected data, we compared the channel environment in the time and frequency domain and analyzed the BER performance according to the pilot spacing and the number of repetitive transmissions in the time and frequency axis.
Keywords
Underwater Acoustic Communication; OFDM; Time Diversity; Frequency Diversity; Repetition;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 A.Wang, B. Li, and Y. Zhang, "Underwater Acoustic Channels Characterization for Underwater Cognitive Acoustic Networks," in Proceeding of the 2018 International Conference on Intelligent Transportation, Big Data & Smart City, Xiamen, China, pp. 223-226, 2018.
2 A. Radosevic, R. Ahmed, T. M. Duman, J. G. Proakis, and M. Stojanovic, "Adaptive OFDM modulation for underwater acoustic communications: Design considerations and experimental results," IEEE journal of oceanic engineering, vol. 39, no. 2, Apr. 2014.
3 K. Y. Kim, M. S. Kim, H. L. Ko, and T. H. Im, "Performance analysis of OFDM and CDMA communication methods in underwater acoustic channel," The Journal of the Acoustical Society of Korea, vol. 38, no. 1, pp. 30-38, Jan. 2019.   DOI
4 J. H. Kim, T. S. Lee, T. H. Im, M. S. Kim, K. L. Ko, and Y. H. Cho, "Performance analysis of pilot symbol spacing for OFDM system on measurement data at West sae," The Journal of Korean Institute of communications and Information Sciences, vol. 42, no. 12, pp. 52-53, Jul. 2017.
5 Y. H. Cho, J. H. Kim, and H. L. Ko, "Performance analysis of Underwater OFDM Systems with Different Pilot Spacings in Western Sea of Korea," The Journal of Korean Institute of communications and Information Sciences, vol. 42, no. 12, pp. 2248-2254, Dec. 2017.   DOI
6 H. Y. Kim, N. Y. Kim, H. J. Song, Y. J. Shin, D. W. Lim, and M. J. Rim, "Performance Comparisons of Diversity Techniques in OFDM Systems," in proceeding of the Korean Institute of Communication Sciences Conference, Gwangju, Korea, pp. 690-699, 2007.
7 N. R. Kim, and J. H. Chung, "Trends of Underwater Communications and Channel Environment Characteristics," Journal of Korean Society for Internet Broadcasting and Communication, vol. 9, no. 5, pp. 243-247, Oct. 2009.
8 J. H. Kim, T. H. Im, T. G. Chung, S. Y. Kim, and H. L. Ko, "A Study on the trends of recent underwater communication network systems," in Proceedings of Symposium of the Korean Institute of communications and Information Sciences, Seoul, Korea, pp. 678-679, 2015.
9 H. W. Jeon, S. J. Lee, and H. N. Lee, "Underwater Channel Analysis and Transmission Method Research via Coded OFDM," The Korean Institute of Communication Sciences, vol. 36, no. 5, pp.573-581, 2011.
10 T. G. Chung, K. W. Kim, T. H. Im, Y. H. Cho, T. S. Lee, and H. L. Ko, "Performance analysis of OFDM system using frequency diversity on West Sea underwater," Journal of the Korean Institute of Communication Sciences, vol. 2017, no. 6, pp. 494-495, Jun. 2017.
11 I. F. Akyildiz, D. pompili, and T. Melodia, "Challenges for efficient communication in underwater acoustic sensor networks," ACM SIGBED Review - Special issue on embedded sensor networks and wireless computing, vol. 1, no. 2, pp. 3-8, 2004.
12 J.P. Kermoal, L. Schumacher, K.I. Pedersen, P.E. Mogensen, and F. Frederiksen, "A stochastic MIMO radio channel model with experimental validation," IEEE Journal on Selected Areas in Communications, vol. 20, no. 6, pp. 1211-1226, Aug. 2002.   DOI
13 M. Stojanovic, and J. Preisig, "Underwater acoustic communication channels: Propagation models and statistical characterization," IEEE Communications Magazine, vol. 47, no. 1, pp. 84-89, Jan, 2009.   DOI