International Journal of Naval Architecture and Ocean Engineering

The Society of Naval Architects of Korea (대한조선학회)
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Sparse decision feedback equalization for underwater acoustic channel based on minimum symbol error rate

  • Wang, Zhenzhong (Guangdong Power Communication Technology Co., Ltd.) ;
  • Chen, Fangjiong (School of Electronic and Information Engineering, South China University of Technology) ;
  • Yu, Hua (School of Electronic and Information Engineering, South China University of Technology) ;
  • Shan, Zhilong (School of Computer Science, South China Normal University)
  • Received : 2020.10.31
  • Accepted : 2021.07.23
  • Published : 2021.11.30
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Abstract

Underwater Acoustic Channels (UAC) have inherent sparse characteristics. The traditional adaptive equalization techniques do not utilize this feature to improve the performance. In this paper we consider the Variable Adaptive Subgradient Projection (V-ASPM) method to derive a new sparse equalization algorithm based on the Minimum Symbol Error Rate (MSER) criterion. Compared with the original MSER algorithm, our proposed scheme adds sparse matrix to the iterative formula, which can assign independent step-sizes to the equalizer taps. How to obtain such proper sparse matrix is also analyzed. On this basis, the selection scheme of the sparse matrix is obtained by combining the variable step-sizes and equalizer sparsity measure. We call the new algorithm Sparse-Control Proportional-MSER (SC-PMSER) equalizer. Finally, the proposed SC-PMSER equalizer is embedded into a turbo receiver, which perform turbo decoding, Digital Phase-Locked Loop (DPLL), time-reversal receiving and multi-reception diversity. Simulation and real-field experimental results show that the proposed algorithm has better performance in convergence speed and Bit Error Rate (BER).

Keywords

Acknowledgement

This work was supported in part by the National Natural Science Foundation of China under Grants U1701265 and in part by Key Program of Marine Economy Development(Six Marine Industries) Special Foundation of Department of Natural Resources of Guangdong Province(GDNRC [2020]009)

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