A Novel Receiver Algorithm for Coherent Underwater Acoustic Communications
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.
[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.
[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.
@article{"International Journal of Electrical, Electronic and Communication Sciences:60443", author = "Liang Zhao and Jianhua Ge", title = "A Novel Receiver Algorithm for Coherent Underwater Acoustic Communications", 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)", volume = "5", number = "1", pages = "86-5", }