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Analysis and Estimation of the Underwater Acoustic Millimeter-Wave Communication Channel

机译:水下声学毫米波通信通道的分析与估计

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A millimeter-wave frequency band in underwater acoustic communication is proposed and analyzed in this paper. The millimeter-wave frequency ranged from 150 kHz to 1500 kHz. The wavelength of underwater sound waves is about 1-10 mm, so using the millimeter-wave frequency band as proposed can improve communication performance efficiently. Simulations of the measured sound velocity profile collected in the South China Sea prove that the communication channel of the millimeter-wave frequency is characterized by the sparsity or cluster-sparsity when the launch angle is large. Using this phenomenon, we propose a novel form of cluster-sparsity l_(2,0)-norm shrinkage LMS algorithm which can identify the millimeter-wave communication channel. The l_(2,0)-norm constraint takes advantage of the sparse properties and the shrinkage denoising method improves the tracking ability in the time-varying sparse channel, so the proposed algorithm can achieve high channel estimation accuracy. Both the simulation results and experimental data processing confirm that the proposed algorithm achieves better performance than the previous algorithm.
机译:本文提出并分析了水下通信中的毫米波频带。毫米波频率范围为150 kHz至1500 kHz。水下声波的波长约为1-10mm,因此使用毫米波频带可以有效地提高通信性能。南海收集的测量声速曲线的仿真证明,毫米波频率的通信通道的特征在于当发射角度大时稀疏性或簇稀物。使用这种现象,我们提出了一种新颖的簇 - 稀疏性L_(2,0)-norm收缩LMS算法,其可以识别毫米波通信信道。 L_(2,0)-norm约束利用稀疏性质,并且收缩去噪方法在时变稀疏信道中提高了跟踪能力,因此所提出的算法可以实现高通道估计精度。仿真结果和实验数据处理都证实了所提出的算法比以前的算法实现更好的性能。

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