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Volume 28 Issue 6
Jun.  2006
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Zhang Yan-ping, Zhao Jun-wei, Li Jin-ming. For Sparse Underwater Acoustic Channel Equalization[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1009-1012.
Citation: Zhang Yan-ping, Zhao Jun-wei, Li Jin-ming. For Sparse Underwater Acoustic Channel Equalization[J]. Journal of Electronics & Information Technology, 2006, 28(6): 1009-1012.

For Sparse Underwater Acoustic Channel Equalization

  • Received Date: 2004-10-21
  • Rev Recd Date: 2005-04-21
  • Publish Date: 2006-06-19
  • A blind equalization algorithm based on constant modulus and sparse underwater acoustic channel is presented according to the sparse characteristic of the high rate underwater acoustic communications. The algorithm combines the improved constant modulus algorithm with a variation of the decision feedback equalizer, namely the partial feedback equalizer, and uses the sparse characteristic of the underwater acoustic channel. It can not only achieve better equalization of the sparse underwater acoustic channel , but also calculate effectively and use easily hardware to carry out the algorithm . Simulation tests are dynamically conducted using the typical sparse underwater acoustic channel model. Simulation results show that the proposed algorithm has the advantages of robustness, calculation-efficient, lower steady state mean squared error, as compared to the self-adaptive LMS algorithm based sparse iteration.
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  • 高路,贺志强等.高速水声通信系统仿真研究.声学学报,2003;28(1):33 .39.[2]Chatha H S, Kumar A, Bahl R.Simulation studies of underwater communication system in shallow oceanic channel [J].Oceans '02 MTS/IEEE , Oct. 29-3.2002, Vol.4:2401-[3]Lopez M J, Singer A C, Whitney S L, Edelson G S.A DFE coefficient placement algorithm for underwater digital acoustic communications.OCEANS '99 MTS/IEEE. Riding the Crest into the 21st Century , 13-16 Sept., 1999, Vol.2: 996.1001.[4]Geller B, Capellano V, Jourdain G.Equalizer for real time high rate transmission in underwater communications. International Conference on Acoustics, Speech, and Signal Processing, 1995,Vol.5: 3179.3182.[5]Kocic M, Brady D, Merriam S.Reduced-complexity RLSestimation for shallow-water channels.Proceedings of the 1994Symposium on Autonomous Underwater Vehicle Technology, 1994: 165.170.[6]Kocic M, Brady D, Stojanovic M.Sparse equalization for real-time digital underwater acoustic communications.Oceans '95 Conference Proceedings, 1995,Vol.3: 1417.1422.[7]Rontogiannis A A, Berberidis K.Efficient decision feedback equalization for sparse wireless channels.IEEE Trans. on Wireless Communications, 2003, 3(2) : 570.581.[8]De Parthapratim, Bao Jay, Poon T.A calculation-efficient algorithm for decision feedback equalizers[J].IEEE Trans. on Consumer Electronics.1999, 45(3):526-[9]王峰,赵俊渭,李洪升等.一种混合常数模水声信道盲均衡新算法的研究.声学学报,2003, 28(2):137.140.[10]Geller B, Capellano V, Brossier J.Equalizer for video rate transmission in multipath underwater communications[J].IEEE Journal of Oceanic Engineering.1996, 21(2):150-[11]AIDA first year Tech. Rep., MAST 2/CT92/0017.
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