Proceedings of the 13th International Conference on Underwater Networks & Systems最新文献

Sound convergence zones formed by reflection from the sea bottom in an incomplete sound channel 在不完全声道中由海底反射形成的声辐合带

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291985

P. Zhang, Zhenglin Li, Lixin Wu, Renhe Zhang, J. Qin

{"title":"Sound convergence zones formed by reflection from the sea bottom in an incomplete sound channel","authors":"P. Zhang, Zhenglin Li, Lixin Wu, Renhe Zhang, J. Qin","doi":"10.1145/3291940.3291985","DOIUrl":"https://doi.org/10.1145/3291940.3291985","url":null,"abstract":"The seafloor has a significant influence on sound propagation in deep water in the context of an incomplete sound channel. Using data collected during an experiment in the South China Sea, we study seafloor reflection effects on sound propagation in a range dependent environment. The experiment phenomenon is different from the convergence phenomenon in the deep sound channel, also referred to as the SOFAR channel. We observe that the spatial variation of bathymetry contributes to the formation of the seafloor reflection convergence zone in advance, and the sound intensity in some areas of the shadow zone is significantly increased. Due to seafloor reflection, there are two seafloor reflection convergence zone within 60 km of the propagation track, in which the gains of the acoustic energy can exceed 10 dB. High sound intensity areas are also observed in the shadow zone near 11 km and 51 km at some depths. In addition, the gain of the second convergence zone is higher than that of the first convergence zone when the receiving depth is the same as the source depth. In the first convergence zone, as the receiving depth increases, the arrival structure tends to become complicated, and the multipath effect becomes more obvious. Numerical analysis based on the parabolic equation and ray theory is carried out to explain the physical mechanism of the seafloor reflection convergence zone. The study result is meaningful for the performance analysis of sonar in complex deep-water environments.*","PeriodicalId":429405,"journal":{"name":"Proceedings of the 13th International Conference on Underwater Networks & Systems","volume":"480 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127000734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive modulation switching strategy based on Q-learning for underwater acoustic communication channel 基于q学习的水声通信信道自适应调制切换策略

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291976

Jiamin Lin, W. Su, Liang Xiao, Xialin Jiang

{"title":"Adaptive modulation switching strategy based on Q-learning for underwater acoustic communication channel","authors":"Jiamin Lin, W. Su, Liang Xiao, Xialin Jiang","doi":"10.1145/3291940.3291976","DOIUrl":"https://doi.org/10.1145/3291940.3291976","url":null,"abstract":"Adaptive modulation techniques which use different modulation methods to match time-varying channel-state information (CSI) are widely used to improve the robustness of underwater acoustic communication links. We propose a novel Q-learning-based adaptive modulation-switching strategy. During the communication, the CSI is estimated from the handshake signals or training sequences, etc., in each communication block at the receiver, and the CSI is then sent back to the transmitter at the feedback channel. The transmitter adaptively selects an appropriate modulation method via Q-learning. The utility of the proposed strategy is based on essential communication parameters such as signal-to-noise ratio (SNR), energy consumption and bit error rate (BER). We conducted simulation tests to testify to the performance of the proposed strategy. Two modulation methods, (i.e., multi-carrier multiple-frequency shift keying (MC-MFSK) and quadrature phase shift keying (QPSK)), which have distinct features in underwater acoustic channel (UWA) communication, are considered in the tests. The performance is evaluated with simulations for the shallow-sea tide condition, and the results show that our proposed adaptive modulation-switching strategy performs well compared with a random selection strategy.","PeriodicalId":429405,"journal":{"name":"Proceedings of the 13th International Conference on Underwater Networks & Systems","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122285631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

A LFM-based adaptive wake-up signal detection approach for underwater acoustic communication system 基于lfm的水声通信系统自适应唤醒信号检测方法

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291962

Haiyu Li, Deqing Wang, Yongjun Xie, Xiaoyi Hu

引用次数: 0

Fuzzy modulation recognition of non-cooperation underwater acoustic communication signals 非合作水声通信信号的模糊调制识别

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291950

Junkai Liu, Weihua Jiang, F. Tong, Dongsheng Chen, Gangqiang Zhang, Yangze Dong

引用次数: 1

OSDM based adaptive multi-mode underwater acoustic communication system 基于OSDM的自适应多模水声通信系统

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291951

Lan-jun Liu, Hao Zhao, J. Niu, Lin Zhou, Jiu-cai Jin, Jie Zhang, Zhichao Lv, Junfeng Wang

引用次数: 1

A MAC protocol design for underwater acoustic wifi network 水声wifi网络的MAC协议设计

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291944

Xiaohe Pan, Jun-hong Cui, J. Liu

引用次数: 3

Cloud-ocean computing: a new scheme of marine data processing 云海洋计算:海洋数据处理的新方案

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291946

Jun Liu, Kai Guo, Jun-hong Cui

引用次数: 2

An NS-3 compatible emulation framework for underwater acoustic network 一个兼容NS-3的水声网络仿真框架

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291973

Xiaohui Zeng, Zhaohui Luo, Fangjiong Chen, Hua Yu, Fei Ji, Quanshen Guang

引用次数: 3

The effects of rough surface on sound field fluctuation 粗糙表面对声场波动的影响

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291956

Ruoyun Liu, Zhenglin Li

引用次数: 0

Underwater sound speed inversion by joint artificial neural network and ray theory 人工神经网络与射线理论联合反演水声声速

Proceedings of the 13th International Conference on Underwater Networks & Systems Pub Date : 2018-12-03 DOI: 10.1145/3291940.3291972

Wei Huang, Deshi Li, Peng Jiang

{"title":"Underwater sound speed inversion by joint artificial neural network and ray theory","authors":"Wei Huang, Deshi Li, Peng Jiang","doi":"10.1145/3291940.3291972","DOIUrl":"https://doi.org/10.1145/3291940.3291972","url":null,"abstract":"Sound speed profiles (SSPs) have a great impact on the accuracy of underwater localization and sonar ranging. In traditional SSP inversion, the sound intensity distribution used in normal mode theory-based matching field processing (MFP) or the multipath signal propagation time adopted in ray theory-based MFP is susceptible to boundary parameter mismatch issues, which reduces the inversion accuracy. Moreover, heuristic algorithms introduced in the MFP require many individuals and iterations to search for the optimal feature representation coefficients after the empirical orthogonal function (EOF) decomposition, which causes extra computational time. In this paper, we propose a two-way interactive signal propagation time measurement method based on an autonomous underwater vehicle (AUV) and a horizontal linear array (HLA), and we apply the propagation time of direct arrival signals for shallow-water SSP inversion to avoid the boundary parameter mismatch. We propose a joint artificial neural network (ANN) and ray theory SSP inversion model to reduce the computational time at the working phase by fitting the nonlinear relationship from the signal propagation time to the SSP, and once the relationship is established, the goal of reducing the computational time can be achieved. To make the ANN better learn the SSP distribution in a target region and ensure a good inversion accuracy, we give an empirical data selection strategy. Then we propose a virtual SSP generation algorithm to help ANN training in the case of under-fitting problems caused by insufficient training data. Simulation results show that our approach can provide a reliable and instantaneous monitoring of shallow-water SSP distribution.","PeriodicalId":429405,"journal":{"name":"Proceedings of the 13th International Conference on Underwater Networks & Systems","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116920743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5