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arXiv 2022年

作者： Chen, Wenxuan Tao, Jun Ma, Lu Qiao, Gang The Key Laboratory of Underwater Acoustic Signal Processing The Ministry of Education School of Information Science and Engineering Southeast University Nanjing210096 China The Acoustic Science and Technology Laboratory The Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology The College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

Accurate channel estimation is critical to the performance of orthogonal frequency-division multiplexing (OFDM) underwater acoustic (UWA) communications, especially under multiple-input multiple-output (MIMO) scenarios. In this paper, we explore Vector Approximate Message Passing (VAMP) coupled with Expected Maximum (EM) to obtain channel estimation (CE) for MIMO OFDM UWA communications. The EM-VAMP-CE scheme is developed by employing a Bernoulli-Gaussian (BG) prior distribution for the channel impulse response, and hyperparameters of the BG prior distribution are learned via the EM algorithm. Performance of the EM-VAMP-CE is evaluated through both synthesized data and real data collected in two at-sea UWA communication experiments. It is shown the EM-VAMP-CE achieves better performance-complexity tradeoff compared with existing channel estimation methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Orthogonal frequency division multiplexing

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Propagation Characteristics of Lateral Wave in Shallow Water Based on the Time-Domain Wavenumber-Integration Method

Propagation Characteristics of Lateral Wave in Shallow Water...

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IEEE/OES China Ocean Acoustics (COA)

作者： Zhenting Song Yang Dong Jiankang Zhan Zhanfei Shi National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

To clarify the propagation mechanism and characteristics of lateral waves, in this paper, the wavenumber-integration method was used to establish a time-domain numerical model of shallow waveguide. The influence of lateral waves is often ignored in the calculation of the far-field sound field, as the near-distance lateral waves travel at the speed of seabed sound speed. For this reason, lateral waves arrive faster than direct waves at some distant locations. The model was used to simulate and analyze the time-range relationship between multi-path arrival structures in shallow-water waveguides. Finally, he seawater sound velocity, seawater depth, and sediment sound velocity of the experimental sea area were obtained via the processing and analysis of multichannel seismic exploration data.

关键词： Water Analytical models Acoustic waveguides Oceans Acoustics Numerical models Sediments Time-domain analysis

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Demand Response Scheme: Achieving Sustainability in Distributed data Processing 9

Demand Response Scheme: Achieving Sustainability in Distribu...

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9th IEEE International Conference on data Science in Cyberspace, DSC 2024

作者： Zhai, Xueying Peng, Yunfeng Guo, Xiuping Zhang, Liang Zhang, Wei University of Science and Technology Beijing School of Computer and Communication Engineering Beijing China Beijing University of Posts and Telecommunications School of Economics and Management Beijing China Guizhou Institute of Technology Guizhou Key Laboratory of Electric Power Big Data Guizhou China Qilu University of Technology Shandong Academy of Sciences Key Laboratory of Computing Power Network and Information Security Ministry of Education Shandong Computer Science Center National Supercomputer Center in Jinan Jinan China

ISBN: (纸本)9798350391367

The rapid development of Internet of Things (IoT) technology has driven the intelligent transformation of various industries, including manufacturing, agriculture, and healthcare, etc., significantly enhancing their management capabilities and decision-making efficiency. data analysis is crucial, serving as both the core technology of this transformation and a major driving force for advancing industry intelligence. However, the increasing volume of data has led to high energy consumption during data analysis, posing significant challenges to environmental and economic sustainability. Integrating renewable energy sources (RESs) is an effective way to reduce greenhouse gas emissions due to their low-carbon and renewable nature. Additionally, the spatiotemporal variability and complementarity of RES generation and grid electricity prices provide favorable conditions for distributed data processing. Therefore, a two-stage demand response scheme is proposed to reduce carbon emissions and electricity costs by prioritizing data processing in data centers (DCs) where RES is abundant or electricity prices are low, based on RES generation and electricity price signals. Simulation results show that the proposed scheme reduces 36.37% carbon emissions and 20.49% electricity costs compared to the benchmark algorithm, indicating its potential for both environmental and economic optimization. © 2024 IEEE.

关键词： Low emission

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Simplicity over Complexity: An ARN-Based Intrusion Detection Method for Industrial Control Network

arXiv

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arXiv 2024年

作者： Liu, Ziyi Ye, Dengpan Yang, Changsong Ding, Yong Liu, Yueling Tang, Long Chen, Chuanxi Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Wuhan430072 China Key Laboratory of Cryptography and Information Security Guilin University of Electronic Technology Guilin541004 China Guangxi Enginecring Rescarch Center of Industrial Internet Security and Blockchain Guilin University of Electronic Technology Guilin541004 China

Industrial control network (ICN) is characterized by real-time responsiveness and reliability, which plays a key role in increasing production speed, rational and efficient processing, and managing the production process. Despite tremendous advantages, ICN inevitably struggles with some challenges, such as malicious user intrusion and hacker attack. To detect malicious intrusions in ICN, intrusion detection systems have been deployed. However, in ICN, network traffic data is equipped with characteristics of large scale, irregularity, multiple features, temporal correlation and high dimensionality, which greatly affect the efficiency and performance. To properly solve the above problems, we design a new intrusion detection method for ICN. Specifically, we first design a novel neural network model called associative recurrent network (ARN), which can properly handle the relationship between past moment hidden state and current moment information. Then, we adopt ARN to design a new intrusion detection method that can efficiently and accurately detect malicious intrusions in ICN. Subsequently, we demonstrate the high efficiency of our proposed method through theoretical computational complexity analysis. Finally, we develop a prototype implementation to evaluate the accuracy. The experimental results prove that our proposed method has sate-of-the-art performance on both the ICN dataset SWaT and the conventional network traffic dataset UNSW-NB15. The accuracies on the SWaT dataset and the UNSW-NB15 dataset reach 95.48% and 97.61%, respectively. Copyright © 2024, The Authors. All rights reserved.

关键词： Network intrusion

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data Splitting Method based on Air-Sea Cross-Domain Gateway Communication information Transmission

Data Splitting Method based on Air-Sea Cross-Domain Gateway ...

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2022 IEEE International Conference on Unmanned Systems, ICUS 2022

作者： Shang, Zhigang Li, Mo An, Yanyan Yu, Han Wang, Yi Qin, Jixing Acoustic Science and Technology Laboratory Harbin Engineering University China Harbin Engineering University Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China China Academy of Aerospace Systems Science and Engineering Beijing China China State Shipbuilding Corporation Applied Acoustics Research Institute Hangzhou China Unit 91977 of the Pla Beijing China Institute of Acoustics Chinese Academy of Sciences State Key Laboratory of Acoustic Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

In order to solve the problem that the air-sea cross-domain network can only establish a single-path transmission connection and cannot effectively use multiple interfaces to transmit data, this paper study a method of parallel transmission through multiple paths, based on the multi homed characteristics of the air-sea cross-domain communication gateway. Due to the differences in the bandwidth, delay and packet loss rate of different paths, the reasonable splitting of data can improve the transmission rate and communication quality of communication signals, integrate the characteristics of each path channel, achieve greater channel equalization and improve the throughput and security of system data transmission. Simulation results show that reasonable data splitting can improve data transmission speed and throughput. © 2022 IEEE.

关键词： Gateways (computer networks)

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A Comparative Study of IMM Kalman Filters and Neural Computing for Underwater Bearing Only Target Motion Analysis

A Comparative Study of IMM Kalman Filters and Neural Computi...

引用

International Bhurban Conference on Applied Sciences & technology, IBCAST

作者： Wasiq Ali Qiao Gang Syed Asim Shah National Key Laboratory of Underwater Acoustic Technology Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology College of Underwater Acoustic Engineering Harbin Engineering University Harbin China College of Information and Communication Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798331516680

ISBN: (纸本)9798331516697

Bearing only target motion analysis (BOTMA) is essential for tracking and locating underwater targets, particularly in situations when conventional approaches such as range-based observations are not feasible or accessible. This paper offers a comparative investigation of interacting multiple model (IMM) Kalman filters and neural computing modelling for analyzing the motion of a target in underwater environment using only bearing data. The study aims to assess the effectiveness of above methods in efficiently analyzing motion features of an underwater target using just bearing observations obtained from two passive observers. The proposed methodologies address the challenges given by noisy and limited bearings, providing a substantial improvement in the analysis of the target's motion. To determine the performance of these two adaptive approaches, a supervised large turning track is developed for an underwater maneuvering target. Real time position, velocity, and turning features of a passive object are estimated in a cluttered marine atmosphere. The objective is to minimize the mean square error (MSE) among true and estimated motion of the target. The performance of each technique is evaluated on the basis of accuracy and resilience through detailed analysis. The results clearly demonstrate superiority of neural computing modelling compared to typical nonlinear filtering tools, like interacting multiple model extended Kalman filter (IMMEKF) and interacting multiple model unscented Kalman filter (IMMUKF). Therefore, this comparative study offers useful insights into the merits and drawbacks of each method, providing recommendations for future advancements in underwater target motion analysis and tracking models.

关键词： Analytical models Target tracking Computational modeling Atmospheric modeling Turning Real-time systems Kalman filters Reliability Motion analysis Monitoring

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Experimental Research on Blind Adaptive Multiuser Detection Algorithm with Different Carrier Frequencies and Severe Overlapping Interference of Spectra

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Binggong Xuebao/Acta Armamentarii 2019年第2期40卷 353-360页

作者： Ge, Wei Yin, Jingwei Yang, Guang Zheng, Maochun Li, Enyu Acoustic science and Technology Laboratory Harbin Engineering University HarbinHeilongjiang150001 China Key Laboratory of Marine Information Acquisition and Security of Ministry of Industry and Information Technology Harbin Engineering University HarbinHeilongjiang150001 China College of Underwater Acoustic Engineering Harbin Engineering University HarbinHeilongjiang150001 China School of Information and Control Engineering Qingdao University of Technology QingdaoShandong266000 China

The carrier frequencies of the interfering users may be inconsistent with those of the expected users when mobile multiuser underwater acoustic communications occur. A blind adaptive multiuser detection(BAMUD)algorithm for carrier frequency inconsistency is proposed for the multiple access interference (MAI) problem produced by inconsistent carrier frequencies in mobile multiuser underwater acoustic communications. The multi-path interference (inter-symbol interference) can be viewed as MAI using virtual user technology, that is, the channel equalization link and the MAI suppression link are combined into one link in the multiuser underwater acoustic communication system, simplifying the communication system structure. The MAI suppression characteristic of Kalman filter-based BAMUD(KF-BAMUD)algorithm, that is, the optimal estimation characteristic of KF under the minimum mean square error criterion, is used to suppress the virtual MAI with different carrier frequencies, the transmission data of the expected user is effectively estimated, thus realizing multiuser communication. A series of multi-user communication experiments under inconsistent carrier frequencies were conducted in Bohai Sea and during its ice period, and the good experimental results have verified the effectiveness of the proposed algorithm. © 2019, Editorial Board of Acta Armamentarii. All right reserved.

关键词： Multiple access interference

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Multipassive Sensor Multitarget Efficient Trajectory-Measurement Association Algorithm Based on the Submodular Optimization Theory

Multipassive Sensor Multitarget Efficient Trajectory-Measure...

引用

IEEE/OES China Ocean Acoustics (COA)

作者： Ying Lyu Bin Qi Guolong Liang National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

data association is critical for resolving multisensor and multitarget tracking challenge. As the number of sensors and targets grows, the complexity of linking measurements to specific targets also grows. The question of efficiently associating ideal measurements for each target, particularly in multipassive sensor systems, remains unresolved. Inspired by least squares estimation, a cost function is determined that considers angle deviation and distance cost, the original objective function, and a set of constraints. The original objective function is then changed into a submodular function with the property of diminishing marginal benefits after an analysis of the problem's practical importance. Finally, based on the submodular optimization theory, an effective multisensor trajectory-measurement association algorithm is proposed. The simulation results show that using the proposed algorithm, each target only needs to be associated with a small number of high-accuracy measurement azimuths to achieve tracking performance comparable with the previous algorithm.

关键词： Target tracking Costs Simulation Oceans Sea measurements Estimation Linear programming Cost function Sensor systems Sensors

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Improved Cloth Simulation Filtering for Multi-Beam Bathymetric Point Cloud Using the Maximum Likelihood Method

Improved Cloth Simulation Filtering for Multi-Beam Bathymetr...

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IEEE/OES China Ocean Acoustics (COA)

作者： Zhenyu Yan Tian Zhou Weilu Liu Weidong Du National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security Ministry of Industry and Information Technology Harbin Engineering University Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

Cloth simulation filtering (CSF) is an automatic filtering algorithm used for airborne light detection and ranging (LiDAR) point clouds, with few parameters and high accuracy, and it is suitable for various landscapes. However, owing to the differences between the acoustic bathymetric and optical ranging principles, CSF may require more artificial intervention to handle multi-beam bathymetric point clouds, and the anomalies generated by the seafloor secondary echo result in diminishing the filtering accuracy of CSF. This paper presents an improved CSF based on maximum likelihood estimation (MLE), called MLE-CSF, which weakens the impact of negative anomalies on the filtering effect by determining the estimated bathymetric point for each cloth particle. In this method, a linear observation model of estimated bathymetry for cloth particles was established, and then the MLE was used to calculate the estimated bathymetric values of each particle in the vertical direction. Next, the CSF was carried out, and the simulated bathymetric value of each particle was obtained when the simulation terminated. Finally, the multi-beam bathymetric point cloud was divided as the off-seafloor or seafloor point set by comparing the simulated bathymetric value with the estimated one. To evaluate the filtering performance, the MLE-CSF was applied to the bathymetric data collected around the Chi Island in Qingdao, China. The filtering result reveals that the MLE-CSF outperforms CSF, which decreases the total error from 2.58 % to 1.92 % and increases Cohen's kappa coefficient from 77.42 % to 82.26 % in the research area. The MLE-CSF is more suitable and stable for multi-beam bathymetric data than the morphology-based filter.

关键词： Point cloud compression Optical filters Maximum likelihood estimation Maximum likelihood detection Accuracy Laser radar Filtering Surfaces Distance measurement Acoustics

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Passive Line Spectrum Detection of a Moving Target With the Fractional Fourier Transform

Passive Line Spectrum Detection of a Moving Target With the ...

引用

IEEE/OES China Ocean Acoustics (COA)

作者： Zhao Yuxin Sun Dajun Mei Jidan National Key Laboratory of Underwater Acoustic Technology Harbin Engineering University Harbin China Key Laboratory of Marine Information Acquisition and Security (Harbin Engineering University) Ministry of Industry and Information Technology Harbin China College of Underwater Acoustic Engineering Harbin Engineering University Harbin China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

To detect line spectrum signals from underwater moving targets, a long-time-integral line spectrum detection method based on the fractional Fourier transform (FRFT) is proposed in this work. This method can mitigate the decrease in the gain of the line spectrum caused by the motion of a target and the resulting Doppler shift. By establishing a mathematical model of the received signal from a moving target, the polynomial characteristics of the phase of the received signal are deduced, and second-order approximate results are given. The polynomial phase signal parameters are related to the parameters of the moving target. Because FRFT can be applied to the integral processing of second-order polynomials, the corresponding processing model and method are given using the FRFT in this work. The actual gains associated with FFT and FRFT for moving targets with different velocities and frequencies are summarized and compared with the theoretical ones. Furthermore, the optimal integration time under different conditions is estimated. Compared with FFT, FRFT lengthens the integration time of the line spectrum of moving signals. The processed results from the simulation data show that this method has excellent line spectrum detection performance at a low SNR and can be adapted to complex situations such as multiple targets and multiple line spectrum signals.

关键词： Doppler shift Couplings Time-frequency analysis Fast Fourier transforms Oceans Signal processing Polynomials Mathematical models Acoustics Signal to noise ratio

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