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Bandwidth-efficient frequency-domain equalization for single carrier multiple-input multiple-output underwater acoustic communications

机译:单载波多输入多输出水下声通信的带宽有效频域均衡

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This paper proposes a single carrier (SC) receiver scheme with bandwidth-efficient frequency-domain equalization (FDE) for underwater acoustic (UWA) communications employing multiple transducers and multiple hydrophones. Different from the FDE methods that perform FDE on a whole data block, the proposed algorithm implements an overlapped-window FDE by partitioning a large block into small subblocks. A decision-directed channel estimation scheme is incorporated with the overlapped-window FDE to track channel variations and improve the error performance. The proposed algorithm significantly increases the length of each block and keeps the same number of training symbols per block, hence achieving better data efficiency without performance degradation. The proposed scheme is tested by the undersea data collected in the Rescheduled Acoustic Communications Experiment (RACE) in March 2008. Without coding, the 2-by-12 MIMO overlapped-window FDE reduces the average bit error rate (BER) over traditional SC-FDE schemes by 74.4% and 84.6% for the 400 m and 1000 m range systems, respectively, at the same data efficiency. If the same BER performance is required, the proposed algorithm has only 8.4% transmission overhead, comparing to over 20% overhead in other existing UWA OFDM and SC-FDE systems. The improved data efficiency and/or error performance of the proposed FDE scheme is achieved by slightly increased computational complexity over traditional SC-FDE schemes.
机译:本文提出了一种单载波(SC)接收器方案,该方案具有带宽有效的频域均衡(FDE),用于采用多个换能器和多个水听器的水下声学(UWA)通信。与在整个数据块上执行FDE的FDE方法不同,该算法通过将大块划分为小子块来实现重叠窗口FDE。决策导向的信道估计方案与重叠窗口FDE结合使用,以跟踪信道变化并改善错误性能。所提出的算法显着增加了每个块的长度,并且每个块保持相同数量的训练符号,从而在不降低性能的情况下实现了更好的数据效率。拟议的方案通过2008年3月重新安排的声学通信实验(RACE)中收集的海底数据进行了测试。不进行编码,与传统SC-SC相比,2-by-12 MIMO重叠窗口FDE降低了平均误码率(BER)。在相同的数据效率下,对于400 m和1000 m距离系统,FDE方案分别减少了74.4%和84.6%。如果需要相同的BER性能,则与其他现有的UWA OFDM和SC-FDE系统中的20%以上的开销相比,所提出的算法仅具有8.4%的传输开销。与传统的SC-FDE方案相比,通过稍微增加计算复杂度,可以提高所提出的FDE方案的数据效率和/或错误性能。

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