Statistical analysis of time-varying channel for underwater acoustic communication and network

被引：4

作者：

Yan, Honglu ^{[1
,2
,3
]}

Ma, Tianlong ^{[1
,2
,3
]}

Pan, Chenyu ^{[1
,2
,3
]}

Liu, Yanan ^{[1
,2
,3
]}

Liu, Songzuo ^{[1
,2
,3
]}

机构：

[1] Harbin Engn Univ, Acoust Sci & Technol Lab, Harbin 150001, Peoples R China

[2] Harbin Engn Univ, Minist Ind & Informat Technol, Key Lab Marine Informat Acquisit & Secur, Harbin 150001, Peoples R China

[3] Harbin Engn Univ, Coll Underwater Acoust Engn, Harbin 150001, Peoples R China

来源：

2021 INTERNATIONAL CONFERENCE ON FRONTIERS OF INFORMATION TECHNOLOGY (FIT 2021) | 2021年

关键词：

Underwater acoustic communication network; underwater acoustic channel measurement; time-varying difference; fading fluctuation;

D O I：

10.1109/FIT53504.2021.00020

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The spatial-temporal random variation characteristics of underwater acoustic channel make the difference among the underwater acoustic communication network link channels, which make network performance difficult to predict. In order to better understand the fluctuation and difference of network link channel, we analyze the measured channel data of five links in the Qiandao Lake underwater acoustic communication network experiment. This paper first estimates impulse response, spread function, power delay profile and Doppler power spectrum of the time-varying channel in a short detection time, and compares the time-frequency energy distribution characteristics of each link channel. Then, we statistically analyze the discreteness of the signal to noise ratio, multipath spread and Doppler spread parameter distributions for a total of 145 channels over a long observation period. The results show that energy distribution structure and fading fluctuation scale of each link channel in underwater acoustic communication network are obviously different.

引用

页码：55 / 60

页数：6