Browse > Article
http://dx.doi.org/10.6109/jkiice.2014.18.5.1042

Optimum Turbo Equalization Method based on Layered Space Time Codes in Underwater Communications  

Kim, Tae-Hun (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Jung, Ji-Won (Department of Radio Communication Engineering, Korea Maritime and Ocean University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.18, no.5, 2014 , pp. 1042-1050 More about this Journal
Abstract
The performance of underwater acoustic(UWA) communication system is sensitive to the Inter-Symbol Interference(ISI) due to delay spread develop of multipath signal propagation. And due to limited frequency using acoustic wave, UWA is a low transmission rate. Thus, it is necessary technique of Space-time code, equalizer and channel code to improve transmission speed and eliminate ISI. In this paper, UWA communication system were analyzed by simulation using these techniques. In the result of simulation, the proposed Turbo Equalization method based on layered Space Time Codes has improved performance compared to conventional UWA communication.
Keywords
Underwater acoustic communication; MIMO(Multiple Input Multiple Output); STC(Space Time Codes); Turbo equalization; Turbo codes; BCJR; LMS(Linear Mean Square) - DFE(Decision Feedback Equalizer);
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Alamouti, "A simple transmit diversity technique for wireless communications," IEEE J. Select. Areas Commun., vol. 16, pp. 1451-1458, Aug. 1998.   DOI   ScienceOn
2 M. J. Gans, G. J. Foschini, "On limits of wireless communication in a fading environment when wsing multiple antennas," Wireless Personal Communication, Vol. 5, No. 3, pp. 311-335, 1998.
3 R. S. Blum, X. Lin, "Improved space-time codes using serial concatenation", IEEE Communication Letter, Vol. 4, pp. 221-223, 2000.   DOI   ScienceOn
4 C. Berrou, A. Glavieux, and P. Thitimajshima, "Near Shanon Limit Error-Correcting Coding and Decoding : Turbo-Codes", in Proc. ICC9, 1993.
5 L. Bahl, J. Cocke, F. Jelinek, and J. Raviv, "Optimal Decoding of Linear Codes for minimizing symbol error rate", IEEE Transactions on Information Theory, vol. IT-20(2), pp. 284-287, 1974.
6 M. Tuchler, et al. "Turbo Equalization : Principles and New Results," IEEE Trans. Communications, Vol. 50, No. 5, pp. 754-767, 2002.   DOI   ScienceOn
7 Jung, Ji Won, and Ki Man Kim. "Optimizing of Iterative Turbo Equalizer for Underwater Sensor Communication." International Journal of Distributed Sensor Networks 2013, 2013.
8 Q. H. Spencer, A. L. Swindlehurst, and M. Haardt, "Zero-forcing methods for downlink spatial multiplexing in multi-user MIMO channels," IEEE Transactions on Signal Processing, vol. 52, no. 2, February 2004.
9 J. Salz, "Optimum Mean-Square Decision Feedbac Equalization," BSTJ, 52, No. 8 (October 1973), p. 1341-73. 4.
10 K. Berberdis, T. Rontogiannis and S. Theodoridis, "Efficient block implementation of the LMS based DFE," Proceedings 13th Digital Signal Processing International Conference, Vol.1, pp. 143-146, July 1997.
11 G. Ungerboeck, "Channel coding with multi level/phase signals," IEEE Trans. on Information Theory, Vol. IT-28, No. 1, 1982.