A NOVEL RECEIVER ALGORITHM FOR COHERENT UNDERWATER ACOUSTIC COMMUNICATIONS

Liang Zhao Jianhua Ge

Abstract


In this paper, we recommended An novel recipient calculation. To sound submerged acoustic interchanges.

The recommended. Collector may be made of three parts:

  1. doppler following What's more. Correction,
  2. the long haul inversion channel estimation and combining, What's more.
  3. joint iterative adjustment and deciphering (JIED).

To decrease. Computational unpredictability Furthermore streamline those adjustment algorithm,. The long haul inversion (TR) channel estimation Furthermore joining together is received on. Improve multi-channel versatile choice sentiment equalizer (ADFE). Under single channel ADFE without lessening the framework execution. Simultaneously, the turbo hypothesis may be received to structure joint iterative. ADFE Furthermore convolutional decoder (JIED). On JIED scheme, those ADFE. Furthermore decoder return delicate data to a iterative manner, which. Camwood upgrade the equalizer execution utilizing deciphering addition. Those. Reenactment Outcomes indicate that those recommended algorithm camwood diminish. Computational unpredictability Furthermore enhance the execution from claiming equalizer. Therefore, those execution for sound submerged acoustic. Correspondences camwood a chance to be moved forward significantly.

Keywords- Underwater acoustic communication, time inversion. (TR) combining, joint iterative adjustment and deciphering (JIED).


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References


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.

M. Stojanovic, L. Frieitag, “Wideband Underwater CDMA: Adaptive Multichannel Receiver design,” Oceans 2005 Proceeding of MTS, 2005, pp.1-6.

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.

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.

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.

T.C.Yang, “Correlation-based decision-feedback equalizer for underwater acoustic communications,” IEEE Journal of Oceanic Engineering, vol. 30, 2005, pp. 865-880.

J.G. Proakis, Digital communication(4th Edition). Beijing: Publishing House of Electronics Induxtry, 2003.

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.

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.

M. R. Soleymani, Yingzi Gao, U. Vilaipornsawai, Turbo Coding for Satellite and Wireless Communications. Boston, MA: Kluwer Academic Publishers, 2002.


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