{"title":"A Variational Auto-Encoder Model for Underwater Acoustic Channels","authors":"Li Wei, Zhaohui Wang","doi":"10.1145/3491315.3491330","DOIUrl":"https://doi.org/10.1145/3491315.3491330","url":null,"abstract":"An underwater acoustic (UWA) channel model with high validity and re-usability is widely demanded. In this paper, we propose a variational auto-encoder (VAE)-based deep generative model which learns an abstract representation of the UWA channel impulse responses (CIRs) and can generate CIR samples with similar features. A customized training process is proposed to avoid the model collapse and being trapped in a gradient pit. The proposed deep generative model is validated using field experimental data sets.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132085219","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}
{"title":"Impulsive noise and carrier frequency offset cancellation for underwater acoustic OFDM communications","authors":"Yuehai Zhou, Xiaoyu Yang, F. Tong","doi":"10.1145/3491315.3491325","DOIUrl":"https://doi.org/10.1145/3491315.3491325","url":null,"abstract":"Underwater acoustic communication has been paid more and more attention nowadays. Orthogonal frequency division multiplexing (OFDM) technology is a promising approach to mitigate multipath, and has low computational complexity for channel equalization, thus it has been widely used for underwater acoustic communication. The Doppler which leads to carrier frequency offset (CFO) and impulsive noise in underwater acoustic channel will degrade the communication performance significantly. In this paper, we propose a novel method to estimate the impulsive noise and carrier frequency offset. We arrange the null-subcarriers at the edge of OFDM bands. Because of the CFO, there are some null-subcarrier that will be contaminated by adjacent active sub-carriers, but the number of contaminated null-subcarriers is limited, so we regard some null-subcarriers as guard null-subcarriers, which suffer from not only CFO, but also impulsive noise. The remaining null-subcarriers are treated as CFO free null-subcarriers, which only suffer from impulsive noise. We utilize such CFO free null-subcarriers to estimate impulsive noise using compressed sensing method, and then remove the impulsive noise from received signal. Consequently, the CFO is estimated via one-dimensional searching. Compared with traditional separately step-by-step method, our proposed method does not suffer from CFO when estimating the impulsive noise, thus the CFO estimation is improved. Numerical simulation demonstrates that, our proposed method improves the communication performance under the underwater acoustic channel where Doppler and impulsive noise exist.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131595121","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}
{"title":"Acoustic Intelligent Surface System for Reliable and Efficient Underwater Communications ","authors":"Zhi Sun, Hongzhi Guo, Pu Wang, I. Akyildiz","doi":"10.1145/3491315.3491324","DOIUrl":"https://doi.org/10.1145/3491315.3491324","url":null,"abstract":"While acoustic-based underwater communication systems have been widely used for many decades, existing systems still suffer from the low reliability problem due to the severe multipath fading, especially in shallow water environments. It is well known that MIMO and beamforming techniques are among the most effective solutions to address fading challenges. However, not all underwater devices can carry the multiple-transducer system due to cost and size limitations, especially small AUVs and sensors. In this paper, we design and characterize the novel acoustic intelligent surfaces in the underwater environment, which enables the beamforming capability to address the multipath fading problem, without requiring the end-users to equip MIMO components. To the best of our knowledge, although electromagnetic (EM) intelligent surfaces have been intensively investigated for terrestrial communications recently, acoustic intelligent surface has not been explored since it has completely different physical mechanism and hardware structure than that of EM surfaces. Therefore, in this paper, we design a new reconfigurable piezoelectric reflector array that performs as an underwater intelligent surface. Rigorous analytical model is developed to characterize how the designed underwater intelligent surface controls the propagation of acoustic waves in the underwater multipath channel. Based on the new design and model, the underwater intelligent surface-enabled beamforming protocol is provided. Through a hybrid underwater communication simulator based on COMSOL Multiphysics and Bellhop toolbox, we demonstrate the proposed acoustic intelligent surface can effectively form and steer acoustic beams and significantly mitigate the multipath fading in shallow underwater environments.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114671206","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}
Biaodi Liu, Jianchun Huang, Ning Jia, Yan Li, Shengming Guo
{"title":"Covert Underwater Acoustic Communication without Repeating Patterns","authors":"Biaodi Liu, Jianchun Huang, Ning Jia, Yan Li, Shengming Guo","doi":"10.1145/3491315.3491332","DOIUrl":"https://doi.org/10.1145/3491315.3491332","url":null,"abstract":"In this paper, a covert underwater acoustic communication scheme based on ocean ambient noise, without any repeating patterns in the transmitted signal is studied. In this scheme, ocean ambient noise is selected as the initial signal. A steganography process is performed on the initial signal to embedded the information in it. Information embedding is a multi-step process that includes time-domain symmetrical division, phase rotation, time reversal, and counterpart exchange. The Information is embedded in the steganography parameters, but not the initial signal itself. So the receiver can get the information by performing the same steganography process on the received signal without knowing any pre-knowledge of the initial signal. In this case, it is able to use different ocean ambient noise as the initial signal for each symbol. Thus, no repeating patterns are observed in the signal; this increases the covertness of this scheme. Phase rotation of the steganography process is essential to ensure optimal system performance; this paper proposes an optimal rotation phase strategy to maximize the system performance. Based on the analysis of the rotation phase, a general multiple phase shift keying receiver structure is also presented herein.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"57 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126129003","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}
Zi-yan Chen, Xiaohe Pan, Gang Wu, Yiqing Lu, Tingting Yang, Jun-hong Cui
{"title":"Studying the Influence of UAC on Network Performance in Real Sea Experiments","authors":"Zi-yan Chen, Xiaohe Pan, Gang Wu, Yiqing Lu, Tingting Yang, Jun-hong Cui","doi":"10.1145/3491315.3491364","DOIUrl":"https://doi.org/10.1145/3491315.3491364","url":null,"abstract":"Underwater acoustic sensor networks (UASNs) have been widely concerned by academia and industry. As the primary communication way of UASNs, underwater acoustic communication is characterized by its long propagation delay, path loss, multi-path effect, Doppler shift, and noise interference. Those characteristics affect network performance in terms of network throughput, end-to-end delivery ratio, and end-to-end delay. In this paper, we conducted field tests on many occasions and analyzed the impact of the underwater acoustic channel (UAC) on the performance of UASNs based on real sea experiment data. The experimental results showed that vulnerable UAC would cause packet loss and thus decrease network performance. This paper is meant as a petri dish to provide valuable guidance in the field of UASNs.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126199439","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}
{"title":"Sparse Reconstruction of Gravity Plume using Autonomous Underwater Vehicle","authors":"Guangxian Zeng, Shuangshuang Fan, Yingjie Cao, Chuyue Peng","doi":"10.1145/3491315.3491320","DOIUrl":"https://doi.org/10.1145/3491315.3491320","url":null,"abstract":"Ongoing researches in the polar region require smaller-scale under-ice observations for a better understanding of the atmosphere-ice-sea interaction. Autonomous Underwater Vehicles (AUVs) are the increasingly favored instruments for sensing the under-ice ocean in the polar area. Because of their mobility and carrying capacity, AUVs are able to sense the under-ice oceanographic fields, such as temperature, salinity, or velocity field. However, when an AUV observing a rapidly changing temperature field such as a gravity plume, the AUV sampling data distorts by the effect of Doppler smearing and aliasing. Moreover, blind areas of the AUV sampling exist and hinder the further usage of the data. In this paper, we propose the sparse approximation method for reconstructing dynamic temperature fields from AUV sampling data. Using sparse approximation and linear interpolation approaches, the reconstruction of a simulated dynamic temperature field of a gravity plume from simulated AUV sampling data is respectively presented. It shows that the proposed method achieved high-quality overall reconstruction results. With this method, the blind areas of the AUV sampling were complemented correctly with high accuracy.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127988151","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}
Zhengliang Zhu, F. Tong, Weihua Jiang, Fumin Zhang, Ziqiao Zhang
{"title":"Evaluating underwater acoustics sensor network based on sparse LMS algorithm driven physical layer","authors":"Zhengliang Zhu, F. Tong, Weihua Jiang, Fumin Zhang, Ziqiao Zhang","doi":"10.1145/3491315.3491317","DOIUrl":"https://doi.org/10.1145/3491315.3491317","url":null,"abstract":"Compared with the radio channels, underwater acoustic (UWA) channels pose challenging difficulties, such as the long time propagation, limited bandwidth, random multipath, and the doppler effect. By exploring the inherent sparsity caused by multipath structure, the reliability of underwater communication can be well improved through channel estimation and the equalization method in the physical layer. In this paper, a type of low-complexity channel estimation algorithms based on the least means square (LMS) adaptive iteration with different norm constraints are reviewed, like the l0-norm (l0-LMS), l1-norm (l1-LMS), and non-uniform norm (NNCLMS), from the perspective of the underwater network. The peer-to-peer long time-scale (in hours) channels variation observed in the physical shallow water channel is embedded into the Network Simulator 3 (NS3). The comprehensive performance of the UWA network was evaluated in terms of throughput, and end-to-end time delay. Lastly, an LSTM based Kalman filter (LSTM-KF) has been applied to predict channel response based on experimental NNCLMS estimation, which offers the potential to artificial extend the time scale of performance evaluation.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131240386","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}
{"title":"Research on Optimizing Lifetime of Underwater Acoustic Networks Based on Ant Colony Algorithm","authors":"Haobo Hu, Hongjiang Zeng, Zhangjun Guan","doi":"10.1145/3491315.3491345","DOIUrl":"https://doi.org/10.1145/3491315.3491345","url":null,"abstract":"With the advancement and implementation of national ocean strategies, the application of underwater acoustic sensor networks is of great significance. Due to the difficulty of charging or replacing batteries, how to extend the lifetime of underwater sensor networks is one of the key issues that needs to be solved. Typical acoustic routing algorithms mostly use static routing to confirm an energy optimal path and transmit information along this path. Although adopting static routing algorithms cost less energy for transmission, the energy of some specific nodes is quickly consumed, resulting in a short system lifetime. In this paper, we proposed a dynamic ant colony routing algorithm, which updates the routing table after each transmission, so as to make full use of the energy of most nodes. Simultaneously, an optimal path is selected in each transmission based on ant colony algorithm. Therefore, the proposed algorithm achieves both energy balance and minimum energy consumption at the same time, which greatly improves the system lifetime. Comparing with static ant colony routing and dynamic random routing, dynamic ant colony routing has the longest life span.","PeriodicalId":191580,"journal":{"name":"Proceedings of the 15th International Conference on Underwater Networks & Systems","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123685318","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}