Zhao Liang, Zhu Wei-qing, Zhu Min . An Adaptive Equalization Algorithm for Underwater Acoustic Coherent Communication System[J]. Journal of Electronics & Information Technology, 2008, 30(3): 648-651. doi: 10.3724/SP.J.1146.2006.01229
Citation:
Zhao Liang, Zhu Wei-qing, Zhu Min . An Adaptive Equalization Algorithm for Underwater Acoustic Coherent Communication System[J]. Journal of Electronics & Information Technology, 2008, 30(3): 648-651. doi: 10.3724/SP.J.1146.2006.01229
Zhao Liang, Zhu Wei-qing, Zhu Min . An Adaptive Equalization Algorithm for Underwater Acoustic Coherent Communication System[J]. Journal of Electronics & Information Technology, 2008, 30(3): 648-651. doi: 10.3724/SP.J.1146.2006.01229
Citation:
Zhao Liang, Zhu Wei-qing, Zhu Min . An Adaptive Equalization Algorithm for Underwater Acoustic Coherent Communication System[J]. Journal of Electronics & Information Technology, 2008, 30(3): 648-651. doi: 10.3724/SP.J.1146.2006.01229
Multi-Channel Decision Feedback Equalizer (MC-DFE) is the main method to overcome multipath fading and eliminate Inter-Symbol Interference (ISI) for underwater acoustic coherent communications. To reduce computational complexity and improve the precision of the data processing, an adaptive and self-optimized pre-combination multi-channel decision feedback equalizer is proposed which consists of Fast self-Optimized LMS Diversity Combiner (FOLMSDC), Fast self-Optimized LMS (FOLMS) and Fast self-Optimized LMS Phase Compensation (FOLMSPC). The proposed algorithm uses single error signal to adjust coefficients according to Minimize Mean Square Error (MMSE) scheme. The proposed algorithm is analyzed through simulation experiments and lake experiments. The experiment results show that proposed algorithm can further reduce computational complexity, and the algorithm performance is better than available algorithms.
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