Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 33122
A Novel Receiver Algorithm for Coherent Underwater Acoustic Communications
Authors: Liang Zhao, Jianhua Ge
Abstract:
In this paper, we proposed a novel receiver algorithm for coherent underwater acoustic communications. The proposed receiver is composed of three parts: (1) Doppler tracking and correction, (2) Time reversal channel estimation and combining, and (3) Joint iterative equalization and decoding (JIED). To reduce computational complexity and optimize the equalization algorithm, Time reversal (TR) channel estimation and combining is adopted to simplify multi-channel adaptive decision feedback equalizer (ADFE) into single channel ADFE without reducing the system performance. Simultaneously, the turbo theory is adopted to form joint iterative ADFE and convolutional decoder (JIED). In JIED scheme, the ADFE and decoder exchange soft information in an iterative manner, which can enhance the equalizer performance using decoding gain. The simulation results show that the proposed algorithm can reduce computational complexity and improve the performance of equalizer. Therefore, the performance of coherent underwater acoustic communications can be improved greatly.Keywords: Underwater acoustic communication, Time reversal (TR) combining, joint iterative equalization and decoding (JIED)
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1077221
Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1731References:
[1] L. Zhao, W.Q. Zhu, M. Zhu, "Adaptive Equalization Algorithms for Underwater Acoustic Coherent Communication System," Journal of Electronics & Information Technology, vol. 30, 2008, pp. 648-651.
[2] M. Stojanovic, L. Frieitag, "Wideband Underwater CDMA: Adaptive Multichannel Receiver design," Oceans 2005 Proceeding of MTS, 2005, pp.1-6.
[3] L.Zhao, J.H. Ge and W.Y Yin, "Joint Adaptive and Self-Optimized Equalizer and Spatial-Temporal Focusing for Underwater Acoustic Communications," MIPRO-2010, Croatia, May 2010, pp.346-351.
[4] W.S.Hodgkiss, H.C.Hong, W.A.Kuperman, T.Akal, C.Ferla and D.R.Jackson, "A long range and variable focus phase conjugation experiment in shallow water," J.Acoust.Soc.Amer., vol.105, 1999, pp. 1597-1604.
[5] H. Song, W. Hodgkiss, W. Kuperman, W. Higley, K. Raghukumar,T. Akal, and M. Stevenson, "Spatial diversity in passive time reversalcommunications," J.Acoust.Soc.Amer., vol.120, 2006, pp. 2067-2076.
[6] T.C.Yang, "Correlation-based decision-feedback equalizer for underwater acoustic communications," IEEE Journal of Oceanic Engineering, vol. 30, 2005, pp. 865-880.
[7] J.G. Proakis, Digital communication´╝ê4th Edition´╝ë. Beijing: Publishing House of Electronics Induxtry, 2003.
[8] P. Bragard, G. Jourdain, "A fast self-optimized algorithm for non-stationary identification: application to underwater equalization," IEEE ICASSP, vol.3, 1990, pp. 1425-1428.
[9] Sharif B.S, Neasham J.Hinton O.R, et al., "A computationally efficient Doppler compensation system for under water acoustic communications," IEEE Journal of Oceanic Engineering, vol.5, 2000, pp. 52-61.
[10] M. R. Soleymani, Yingzi Gao, U. Vilaipornsawai, Turbo Coding for Satellite and Wireless Communications. Boston, MA: Kluwer Academic Publishers, 2002.