A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication

WANG Wei; PU Zhan-qing; NIU Biao; TAO Lei; HUANG Hai-ning

doi:10.11993/j.issn.2096-3920.2022-0017

Volume 30 Issue 6

Dec 2022

Turn off MathJax

Article Contents

Article Navigation > Journal of Unmanned Undersea Systems > 2022 > 30(6): 768-773

WANG Wei, PU Zhan-qing, NIU Biao, TAO Lei, HUANG Hai-ning. A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication[J]. Journal of Unmanned Undersea Systems, 2022, 30(6): 768-773. doi: 10.11993/j.issn.2096-3920.2022-0017

Citation:

WANG Wei, PU Zhan-qing, NIU Biao, TAO Lei, HUANG Hai-ning. A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication[J]. Journal of Unmanned Undersea Systems, 2022, 30(6): 768-773. doi: 10.11993/j.issn.2096-3920.2022-0017

Citation:

PDF( 1624 KB)

A Signal-to-Noise Ratio Estimation Method for Underwater Acoustic Adaptive Communication

doi: 10.11993/j.issn.2096-3920.2022-0017

1.
Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
2.
Suzhou Soundtech Oceanic Instrument Ltd., Suzhou 215000, China

Received Date: 2022-07-21
Accepted Date: 2022-10-14
Rev Recd Date: 2022-09-30

Available Online: 2022-11-03

Abstract

Abstract

To solve the problem of signal-to-noise ratio(SNR) estimation for dynamic communication, an SNR estimation method suitable for underwater acoustic adaptive communication in trans-media heterogeneous networks was proposed. The minimum mean square error SNR estimation algorithm was improved by using the reconstructed data in the process of a low pilot occupancy channel estimation algorithm to achieve SNR tracking under time-varying channel conditions. Simulation results show that the proposed method can obtain highly accurate SNR estimation results under high SNR conditions, and the SNR estimation results can decline rapidly under low SNR conditions, which is particularly suitable for the rate-adjustment strategy of link adaptive communication. The adaptive rate adjustment strategy given by the proposed method can effectively reduce the power consumption and improve the communication data rate.
- trans-media heterogeneous network,
- underwater acoustic communication,
- link adaptive,
- SNR estimation,
- time-varying channel

FullText(HTML)

References(12)

References

[1]	李天松, 阳荣凯, 黄艳虎, 等. 水下激光脉冲时延特性的仿真分析[J]. 激光与光电子学进展, 2019, 56(11): 56-64. Li Tian-song, Yang Rong-kai, Huang Yan-hu, et al. Simulation and Analysis of Time Delay Characteristics of Underwater Laser Pulse[J]. Laser & Optoelectronics Progress, 2019, 56(11): 56-64.
[2]	廖欣, 蒋红艳, 何宁. 激光跨介质通信中跳时隙的编解码方法[J]. 激光与红外, 2021, 51(12): 1594-1598. doi: 10.3969/j.issn.1001-5078.2021.12.007 Liao Xin, Jiang Hong-yan, He Ning. A Method of Timeslot Hopping Encoding and Decoding in the Cross Media Laser Communication[J]. Laser & Infrared, 2021, 51(12): 1594-1598. doi: 10.3969/j.issn.1001-5078.2021.12.007
[3]	李聪, 袁瑞蔓, 曹桂兴, 等. 不同天气条件下蓝绿激光下行跨介质传输特性[J]. 光子学报, 2021, 50(12): 1201003. doi: 10.3788/gzxb20215012.1201003 Li Cong, Yuan Rui-man, Cao Gui-xing, et al. Characteristics of Blue-green Laser Downlink Cross-media Transmission under Different Weather Conditions[J]. Acta Photonica Sinica, 2021, 50(12): 1201003. doi: 10.3788/gzxb20215012.1201003
[4]	Tonolim F, Adib F. Networking across Boundaries: Enabling Wireless Communication through the Water-air Inter-face[C]//Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication ACM. Budapest: ACM SIGCOMM, 2018.
[5]	陈铖, 高雅, 李迎春, 等. 声波-毫米波水空跨介质通信-声波斜入射水面[C]//中国声学学会水声学分会2019年学术会议论文集. 南京: 《声学技术》编辑部, 2019.
[6]	张锦灿, 王志欣, 王晓庆. 跨介质通信系统链路设计[C]//中国声学学会水声学分会2019年学术会议论文集. 南京: 《声学技术》编辑部, 2019.
[7]	毛琼, 吴越, 谷源涛. 链路自适应下的自动空间调制方式识别[J]. 计算机仿真, 2020, 37(9): 136-139. doi: 10.3969/j.issn.1006-9348.2020.09.027 Mao Qiong, Wu Yue, Gu Yuan-tao. Automatic Spatial Modulation Recognition in Link Adaptive System[J]. Computer Simulation, 2020, 37(9): 136-139. doi: 10.3969/j.issn.1006-9348.2020.09.027
[8]	许维伟, 叶江峰, 胡茂海. 一种基于奇异值分解的改进信噪比盲估计算法[J]. 太赫兹科学与电子信息学报, 2016, 14(5): 771-777. doi: 10.11805/TKYDA201605.0771 Xu Wei-wei, Ye Jiang-feng, Hu Mao-hai. Improved Blind SNR Estimation Algorithm Based on Singular Value Decomposition[J]. Journal of Terahertz Science and Electronic Information Technology, 2016, 14(5): 771-777. doi: 10.11805/TKYDA201605.0771
[9]	张子萍. 无线通信中信噪比估计算法研究和实现[D]. 北京: 北京邮电大学, 2016.
[10]	Benedict T R, Soong T T. The Joint Estimation of Signal and Noise from the Sum Envelope[J]. IEEE Transactions Information Theory, 1967, 13(3): 447-454.
[11]	乔钢, 王巍, 刘凇佐, 等. 改进的多输入多输出正交频分复用水声通信判决反馈信道估计算法[J]. 声学学报, 2016, 41(1): 94-104. Qiao Gang, Wang Wei, Liu Song-zuo, et al. An Improved Decision Feedback Channel Estimation Algorithm for Multiple-input Multiple-output Orthogonal Frequency Division Multiplexing Underwater Acoustic Communication[J]. Acta Acustica, 2016, 41(1): 94-104.
[12]	乔钢, 王巍, 王玥, 等. 多输入多输出正交频分复用浅海水声通信打孔判决反馈信道估计算法[J]. 兵工学报, 2013, 34(9): 1116-1124. Qiao Gang, Wang Wei, Wang Yue, et al. Decision Feedback Estimation of Multiple Input/Multiple Output Orthogonal Frequency Division Multiplexing Channel Based on Punching Technique via UWA Shallow Sea[J]. Acta Armamentrii, 2013, 34(9): 1116-1124.