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使用垂直传感器阵列进行远程水下声学通信的实验演示

Experimental Demonstration of Long-Range Underwater Acoustic Communication Using a Vertical Sensor Array.

作者信息

Zhao Anbang, Zeng Caigao, Hui Juan, Ma Lin, Bi Xuejie

机构信息

Acoustic Science and Technology Laboratory, Harbin Engineering University, Harbin 150001, China.

College of Underwater Acoustic Engineering, Harbin Engineering University, Harbin 150001, China.

出版信息

Sensors (Basel). 2017 Jun 27;17(7):1516. doi: 10.3390/s17071516.

DOI:10.3390/s17071516
PMID:28653976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5539562/
Abstract

This paper proposes a composite channel virtual time reversal mirror (CCVTRM) for vertical sensor array (VSA) processing and applies it to long-range underwater acoustic (UWA) communication in shallow water. Because of weak signal-to-noise ratio (SNR), it is unable to accurately estimate the channel impulse response of each sensor of the VSA, thus the traditional passive time reversal mirror (PTRM) cannot perform well in long-range UWA communication in shallow water. However, CCVTRM only needs to estimate the composite channel of the VSA to accomplish time reversal mirror (TRM), which can effectively mitigate the inter-symbol interference (ISI) and reduce the bit error rate (BER). In addition, the calculation of CCVTRM is simpler than traditional PTRM. An UWA communication experiment using a VSA of 12 sensors was conducted in the South China Sea. The experiment achieves a very low BER communication at communication rate of 66.7 bit/s over an 80 km range. The results of the sea trial demonstrate that CCVTRM is feasible and can be applied to long-range UWA communication in shallow water.

摘要

本文提出了一种用于垂直传感器阵列（VSA）处理的复合信道虚拟时间反转镜（CCVTRM），并将其应用于浅海远程水声（UWA）通信。由于信噪比（SNR）较弱，无法准确估计VSA各传感器的信道冲激响应，因此传统的被动时间反转镜（PTRM）在浅海远程UWA通信中性能不佳。然而，CCVTRM只需要估计VSA的复合信道来完成时间反转镜（TRM），这可以有效减轻符号间干扰（ISI）并降低误码率（BER）。此外，CCVTRM的计算比传统的PTRM更简单。在中国南海进行了一次使用12个传感器的VSA的UWA通信实验。该实验在80公里范围内以66.7比特/秒的通信速率实现了极低误码率的通信。海试结果表明，CCVTRM是可行的，可应用于浅海远程UWA通信。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/d9eb4fc077e1/sensors-17-01516-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/0292631df7de/sensors-17-01516-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/051ce3609913/sensors-17-01516-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/77cf91a62c9a/sensors-17-01516-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/4497814d779f/sensors-17-01516-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/d90265135a5f/sensors-17-01516-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/5bdf90571760/sensors-17-01516-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/b26f417a85db/sensors-17-01516-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/a6b0ba7313fa/sensors-17-01516-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/d9eb4fc077e1/sensors-17-01516-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/0292631df7de/sensors-17-01516-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/051ce3609913/sensors-17-01516-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/77cf91a62c9a/sensors-17-01516-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/4497814d779f/sensors-17-01516-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/d90265135a5f/sensors-17-01516-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/5bdf90571760/sensors-17-01516-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/b26f417a85db/sensors-17-01516-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/a6b0ba7313fa/sensors-17-01516-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/290b/5539562/d9eb4fc077e1/sensors-17-01516-g009.jpg

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引用本文的文献

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