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一种改进的远距离水下环境的时间延迟测量方法。

An Improved Time Delay Measurement Method for the Long-Distance Underwater Environment.

机构信息

School of Cyberspace Security, Hainan University, Haikou 570228, China.

College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou 310027, China.

出版信息

Sensors (Basel). 2023 Apr 16;23(8):4027. doi: 10.3390/s23084027.

DOI:10.3390/s23084027
PMID:37112368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10144737/
Abstract

With the development of underwater navigation and underwater communication, it remains difficult to obtain time delay measurements after propagating long distance. This paper proposes an improved high-accuracy time delay measuring method for long distance underwater channel propagation. First, by sending an encoded signal, the signal acquisition is carried out at the receiving end. Then, to improve signal to noise ratio (SNR), bandpass filtering is carried out on the receiving end. Next, considering the random changes in the underwater sound propagation channel, a strategy is proposed to select the optimal time window for cross-correlation. Then, new regulations are proposed to calculate the cross-correlation results. To verify the effectiveness of the algorithm, we compared it with other algorithms under low SNR conditions using Bellhop simulation data. Finally, the accurate time delay is obtained. With underwater experiments over different distances, the method proposed by the paper achieves high accuracy. The error is about 10 s. The proposed method makes a contribution to underwater navigation and communication.

摘要

随着水下导航和水下通信的发展,在长距离传播后仍然难以获得时延测量。本文提出了一种改进的高精度长距离水下信道传播时延测量方法。首先,通过发送编码信号,在接收端进行信号采集。然后,为了提高信噪比(SNR),在接收端进行带通滤波。接下来,考虑到水下声传播信道的随机变化,提出了一种选择最佳互相关时间窗口的策略。然后,提出了新的规则来计算互相关结果。为了验证算法的有效性,我们在低 SNR 条件下使用 Bellhop 仿真数据与其他算法进行了比较。最后,得到了准确的时延。通过不同距离的水下实验,本文提出的方法实现了高精度。误差约为 10 秒。该方法为水下导航和通信做出了贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/811ac4c27efa/sensors-23-04027-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/b9057cd21d89/sensors-23-04027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/4fa29b2a13a7/sensors-23-04027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/c32bf5c69925/sensors-23-04027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/98b74999860a/sensors-23-04027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/cfd4d8fb2d9e/sensors-23-04027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/4a3b88ac5b64/sensors-23-04027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/3dd8b52540f9/sensors-23-04027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/888c4c6284a3/sensors-23-04027-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/811ac4c27efa/sensors-23-04027-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/b9057cd21d89/sensors-23-04027-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/4fa29b2a13a7/sensors-23-04027-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/c32bf5c69925/sensors-23-04027-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/98b74999860a/sensors-23-04027-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/cfd4d8fb2d9e/sensors-23-04027-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/4a3b88ac5b64/sensors-23-04027-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/3dd8b52540f9/sensors-23-04027-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/888c4c6284a3/sensors-23-04027-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da5d/10144737/811ac4c27efa/sensors-23-04027-g009.jpg

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本文引用的文献

1
Optimization Algorithm for Delay Estimation Based on Singular Value Decomposition and Improved - Weighting.基于奇异值分解和改进加权的时延估计优化算法。
Sensors (Basel). 2022 Sep 24;22(19):7254. doi: 10.3390/s22197254.
2
On the use of modified phase transform weighting functions for acoustic imaging with the generalized cross correlation.关于使用改进的相位变换加权函数进行广义互相关声学成像
J Acoust Soc Am. 2019 Mar;145(3):1546. doi: 10.1121/1.5094419.
3
Joint Bearing and Range Estimation of Multiple Objects from Time-Frequency Analysis.
基于时频分析的多目标联合方位与距离估计
Sensors (Basel). 2018 Jan 19;18(1):291. doi: 10.3390/s18010291.
4
Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks.基于一维卷积神经网络的实时患者特异性心电图分类
IEEE Trans Biomed Eng. 2016 Mar;63(3):664-75. doi: 10.1109/TBME.2015.2468589. Epub 2015 Aug 14.
5
A wavelet-based ECG delineator: evaluation on standard databases.一种基于小波的心电图描记器:在标准数据库上的评估。
IEEE Trans Biomed Eng. 2004 Apr;51(4):570-81. doi: 10.1109/TBME.2003.821031.
6
Time-delay estimation of reverberated speech exploiting harmonic structure.利用谐波结构估计混响语音的时延
J Acoust Soc Am. 1999 May;105(5):2914-9. doi: 10.1121/1.426904.
7
A real-time QRS detection algorithm.一种实时QRS波检测算法。
IEEE Trans Biomed Eng. 1985 Mar;32(3):230-6. doi: 10.1109/TBME.1985.325532.