A study on efficient integration model of satellite and underwater communication for improving throughput efficiency Baek, Chang-Uk; Jung, Ji-Won;
In this paper, we analyzed efficient decoding scheme with FTN(Faster than Nyquist) method that is transmission method faster than Nyquist theory and increase the throughput. Applying the FTN method to satellite and underwater communication, we proposed an efficient transceiver model. To minimize ISI(Inter-Symbol Interference) induced by FTN signal, turbo equalization algorithms that iteratively exchange probabilistic information between Viterbi equalizer based on BCJR algorithm and LDPC decoder are used in satellite communication. In others, for underwater communication, DFE equalizer and LDPC decoder are concatenated to improve performance.
FTN(Faster than nyquist);Turbo Equalization;LDPC codes;Satellite and underwater communication;
U. S. Kim, "Concept of tactical data link employment and next C4ISR system," The Quarterly Journal of Defense Policy Studies, pp. 49-83, 2006 (in Korean).
D. J. C. Mackay and R. M. Neal, "Near shannon limit performance of low-density parity-check codes," Electronics Letters, vol. 32, pp. 1645-1646, 1997.
I. Lee, D. Chang, and D. Oh, "Multi-level modulation LDPC decoding algorithm for new generation DVB-S2 system," Proceedings of the 24th AIAA International Communications Satellite Systems Conference, pp. 1-4, 2006.
A. D. Liveris and C. N. Georghiades, "Exploiting faster-than-Nyquist signaling," IEEE Transactions on Communications, vol. 51, no. 9, pp. 1502-1511, 2003.
F. Rusek and J. B. Anderson, "Multistream faster than nyquist signaling." IEEE Transactions on Communications, vol. 57, no. 5, pp. 1329-1340, 2009.
J. E. Mazo, "Faster than nyquist signaling," Bell System Technical Journal, vol. 54, no. 8, pp. 1451-1462, 1975.
D. Dasalukunte, F. Rusek, and V. Owall, "An iterative decoder for multicarrier faster-than-Nyquist signaling systems," Proceedings of the 2010 IEEE International Conference on Communications (ICC), pp. 1-5, 2010.
A. Prlja and J. B. Anderson, "Reduced-complexity receivers for strongly narrowband intersymbol interference introduced by faster-than-Nyquist signaling," IEEE Transactions on Communications, vol. 60, no. 9, pp. 2591-601, 2012.
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, no. 2, pp. 284-287, 1974.
J. B. Anderson, A. Prlja, and F. Rusek, "New reduced state space BCJR algorithms for the ISI channel," Proceedings of the IEEE International Symposium on Information Theory, pp. 889-893, 2009.
T. H. Kim, I. K. Lee, and J. W. Jung "A study on efficient viterbi equalizer in FTN channel," Journal of Korea Institute of Information and Communication Engineering, vol. 18, no. 6, pp. 1323-1329, 2014 (in Korean).
C. Douillard, M. Jezequel, C. Berrou, A. Picart, P. Didier, and A. Glavieux, "Iterative correction of intersymbol interference: turbo equalization," European Transactions on Telecommunications, vol. 6, no. 5, pp. 507-511, 1995.
J. B. Anderson and A. Prlja, "Turbo equalization and an M-BCJR algorithm for strongly narrowband intersymbol interference," Proceedings of the 2010 International Symposium on Information Theory and its Applications (ISITA), pp. 261-266, 2010.
D. B. Kilfoyle and A. B. Baggeroer, "The State of the Art in Underwater Acoustic Telemetry," IEEE Journal of Oceanic Engineering, vol. 25, no. 1, pp. 4-27, 2000.
M. Stojanovic, J. Catipovic, and J. Proakis, "Phase coherent digital communications for underwater acoustic channels," IEEE Journal of Oceanic Engineering, vol. 19, no. 1, pp. 100-111, 1994.
K. Berberdis, T. Rontogiannis, and S. Theodoridis, "Efficient block implementation of the LMS based DFE," Proceeding of the 13th International Conference on Digital Signal Processing, vol. 1, pp. 143-146, 1997.
J. Salz, "Optimum mean-square decision feedback equalization," Bell System Technical Journal, vol. 52, no. 8, pp. 1341-1373, 1973.