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中文核心期刊

深海可靠声路径下基于变分贝叶斯推断的水声信道估计

Underwater acoustic channel estimation based on variational Bayesian inference under reliable acoustic path in deep sea

  • 摘要: 在深海可靠声路径(RAP)区域, 水声信道呈现明显的长时延、分簇稀疏特性。针对RAP信道的上述特性, 在Turbo迭代均衡的框架下开发了一种基于向量近似消息传递(VAMP)和变分贝叶斯推断(VBI)的信道估计方法。首先, 将RAP信道建模为不同簇子信道的串联, 利用VBI迭代估计每一簇子信道; 然后, 针对VBI计算复杂度较高的问题, 将VAMP嵌入VBI框架, 在低复杂度下估计各簇信道后验分布; 最后, 针对反射声子信道时变性强的问题, 在VBI框架下提出了基于直达声时间相关性的信道、符号的联合估计方法。利用在中国南海收集的深海实验数据对所提方法进行了验证。结果表明, 所提方法在深海RAP信道下具有更好的信道估计性能和更低的计算复杂度。

     

    Abstract: In the deep-sea reliable acoustic path (RAP) area, the underwater acoustic channel exhibits obvious long delay, clustered and sparse characteristics. Aiming at the above characteristics of the RAP channel, a channel estimation method based on vector approximate message passing (VAMP) and variational Bayesian inference (VBI) is developed under the framework of Turbo iterative equalization. Firstly, the RAP channel is modeled as a series of sub-channels of different clusters, and each sub-channel of each cluster is estimated iteratively using VBI. Then, to address the problem of high computational complexity of VBI, VAMP is embedded in the VBI framework to estimate the posterior distribution of each cluster channel with low complexity. Finally, to address the problem of strong time-varying nature of the reflected phonon channel, a joint estimation method of the channel and symbol based on the time correlation of the direct sound is proposed under the VBI framework. The proposed method is verified using deep-sea experimental data collected in the South China Sea. The results show that the proposed method has better channel estimation performance and lower computational complexity under the deep-sea RAP channel.

     

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