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http://dx.doi.org/10.1016/j.ijnaoe.2021.07.004

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)
Publication Information
International Journal of Naval Architecture and Ocean Engineering / v.13, no.1, 2021 , pp. 617-627 More about this Journal
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
Underwater acoustic communication; Decision feedback equalization; Minimum symbol error rate (ML); Turbo receiver;
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