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IEEE/OES China Ocean Acoustics (COA)

作者： Qin-Chuan Zhang Yan-Sen Liu Wang Yang Dalian Scientific Test and Control Technology Institute Dalian P. R. China Science and Technology on Underwater Test and Control Laboratory Dalian Scientific Test and Control Technology Institute Dalian P. R. China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

The underwater transient noise radiated by ships provides rich target information and is the focus of target acoustic characteristics analysis. The duration is a crucial representation parameter of the time-domain envelope. The Page test is an effective method for detecting transients, as it can be used to estimate the starting time of the transient. Hence, in this study, the ending time of the transient is estimated by performing time-domain reversal on the signal. In addition, in a low-signal-to-noise ratio environment, wavelet noise reduction pre-processing is introduced to improve the estimation effect and then to estimate the duration of transient noise. The simulation verification results reveal that this method can accurately estimate the duration of underwater transient noise and can also ensure high accuracy in low-signal-to-noise ratio environments.

关键词： Accuracy Oceans Noise reduction Estimation Acoustics Transient analysis Time-domain analysis Marine vehicles Signal to noise ratio

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Feature Mining Method Based on Deep Learning for underwater Electric Field Prediction in Marine Environment

Feature Mining Method Based on Deep Learning for Underwater ...

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Communication Systems (ECCS), European Conference on

作者： Pei Cui Kaina Jiang Jin Yue Yuanzhe Wu Yibo Fu Science and Technology on Underwater Test and Control Laboratory Dalian China Dalian Institute of Measurement and Control Technology Dalian China

The low-frequency electric field generated by various electromagnetic effects in the ocean overwrites the useful signal in amplitude and frequency, as a background distraction field for electric field detection. Effective electric field characteristic analysis and prediction methods are helpful to improve the environmental adaptability of the equipment and the ability of target detection. The deep learning method is used to mine the characteristics of underwater electric field in the marine environment to improve the prediction accuracy. In order to explore the relationship between seawater environmental parameters and electric field characteristics, parameters including measure time, seawater conductivity, water depth and wave height are used as independent variables, and the amplitude of the underwater electric field in the marine environment is used as the dependent variable. The relationship model between independent variables and dependent variables are established by deep neural network training to realize the prediction of underwater electric field characteristics in the marine environment. The results of 103 training samples and 2 test samples show that the method can effectively identify the test samples, and can be used for the mining and prediction of underwater electric field characteristics, as well as the detection and identification of weak electric field signals submerged in the marine environment.

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Influence of Physical Parameters on Echo Spectrum of underwater Target

Influence of Physical Parameters on Echo Spectrum of Underwa...

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IEEE/OES China Ocean Acoustics (COA)

作者： Yunfei Chen Dapeng Yu Bing Jia Zhenshan Wang Jintao Yong Yanjie Wang School of Information and Communication Engineering Dalian University of Technology Dalian China Science and Technology on Underwater Test and Control Laboratory Dalian China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

The elastic scattering features of the underwater target scattering wave depend on the physical parameters of the target, such as the material and structure. Intuitively evaluating the influence of the elastic scattering wave on the characteristics of the whole scattering wave signal is difficult due to the coupling and superposition of the elastic scattering wave and the geometric scattering wave of the target. Based on the different modulation characteristics of broadband echo spectrum produced by target geometry scattering and elastic scattering wave, this paper characterizes and studies the modulation features of echo spectrum and tests the influence of physical parameters on the echo spectrum of underwater target using several simple cylindrical targets with different physical parameters. Moreover, the geometric scattering wave and the elastic scattering wave of the simple target echo are extracted using the fractional Fourier transform (FrF $T$ ) domain filtering method, and the influence of physical parameters on the echo spectrum is quantitatively analyzed.

关键词： Geometry Couplings Fourier transforms Filtering Oceans Scattering Modulation Feature extraction Acoustics Broadband communication

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Source-Configured Microwave Plasmonic Vortices Based on Single Meta-Particle

Source-Configured Microwave Plasmonic Vortices Based on Sing...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Kong, Xianglin Zhao, Lei Shen, Xiaopeng Xu, Yinfang School of Information and Control Engineering China School of Materials Science and Physics China University Mining and Technology Xuzhou China National Key Laboratory of Science and Technology on Test Physics & Numerical Mathematics Beijing China

ISBN: (纸本)9781733509657

In this paper, generation of plasmonic vortices with tunable topologic charges is proposed in the microwave regime. Tunable vortices with topologic charges of 0, +1 and -1 can be configured by illuminating incident plane waves with linearly polarization (LP), left-circularly polarization (LHCP) and right-circularly polarization (RHCP) on a single meta-particle, respectively. A spiral meta-particle operating at 2.94 GHz is designed, fabricated and measured to demonstrate the source-configured characteristics. The results showed that simulation and test are consistent with the theoretical ones. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Vortex flow

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Hybrid signal fusion for target detection in distributed PA-MIMO radar systems on moving platforms

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IEEE Transactions on Aerospace and Electronic Systems 2025年

作者： Zhou, Dingsen Yang, Minglei Lian, Hao Greco, Maria Sabrina Gini, Fulvio Xidian University National Key Laboratory of Radar Signal Processing Shaanxi Xi'an710071 China Science and Technology on Underwater Test and Control Laboratory Dalian116013 China University of Pisa Department of Information Engineering Pisa56122 Italy

Distributed phased multiple-input multiple-output (PA-MIMO) radar systems on moving platforms combine the spatial diversity of MIMO radars with the coherent gain of phased-array radars, making them ideal for dynamic environments. However, challenges such as motion-induced channel variability, Doppler shifts, and complex parameter estimation often hinder target detection. Traditional methods like non-coherent fusion (NCF) and coherent fusion (CF) struggle to adapt to such variability, leading to suboptimal performance. In this paper, we propose a hybrid signal fusion (HSF) scheme that integrates joint space-time-phase compensation (JSTPC) with a compressed fusion network. The JSTPC module mitigates motion-induced phase errors and ensures precise alignment of received signals, while the compressed fusion network combines CF and NCF stages, leveraging their respective strengths to adaptively manage channel correlation variability. We also develop a joint parameter estimation algorithm to accurately extract direction of departure, direction of arrival, and Doppler frequency, thereby ensuring precise signal reconstruction and enhancing the detection process by estimating key parameters in real time. Theoretical analyses of detection thresholds and probabilities, derived using moment-matching techniques, further validate the reliability of the proposed scheme. Monte Carlo simulations and theoretical analyses for diverse radar configurations and channel correlation scenarios show that the proposed HSF scheme achieves 2 dB detection gain improvement over NCF. © 2025 IEEE.

关键词： Frequency estimation

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A Hydroacoustic Positioning Method Based on Analysis of the Error Region of Three-circle Intersection

A Hydroacoustic Positioning Method Based on Analysis of the ...

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2021 OES China Ocean Acoustics, COA 2021

作者： Cui, Pei Jiang, Kaina Lv, Junjun Zhao, Zhe Yue, Jin Jiao, Dawen Dalian Institute of Measurement and Control Technology Dalian China Science and Technology on Underwater Test and Control Laboratory Dalian China

ISBN: (纸本)9781728181905

A hydroacoustic positioning method based on three-circle intersection presented in this paper is used to locate the underwater measuring units equipped with sensors to measure magnetic and electric field. Due to the existence of controllable and non-controllable error sources such as measurement distance of underwater acoustic and entry depth of the surface positioning device in the positioning process, there is a triangle error area that makes the positioning results not satisfactory. In order to improve the positioning accuracy, the convergence and diffusion law of the triangle error area are studied with data analysis software by setting error ranges of the positioning circle radius and the step size in response to the measured results in sea test. The analysis results show that the optimized positioning method based on the three-circle intersection can well reduce the size of the triangle error area and effectively improve the positioning accuracy. © 2021 IEEE.

关键词： underwater acoustics

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Navigation radar image fusion of different scales based on improved wavelet transform rules

Navigation radar image fusion of different scales based on i...

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Chinese control and Decision Conference, CCDC

作者： Haoyan Zhang Lu Zhang Fangyuan Jin Yuanyuan Guo Yunying Wang Yunsheng Fan Science and Technology on Underwater Test and Control Laboratory Dalian China College of Marine Electrical Engineering Dalian Maritime University Dalian China

ISBN: (数字)9798350387780

ISBN: (纸本)9798350387797

Due to the disadvantages of the image fusion system such as unclear target contour of long-range radar image, insufficient perceptual range of near-range radar image and insufficient detail of traditional wavelet transform fusion rules for processing high frequency coefficients, the fused images cannot meet the requirements of large information volume, high definition and small discrepancy. To solve this problem, the maximum Brenner region energy wavelet transform image fusion (MBREWTIF) algorithm is proposed, Firstly, the alignment of the two radar images is realized to prepare for the next step of algorithmic fusion. Secondly, an improved fusion rule for high frequency coefficients is devised based on the wavelet transform image fusion algorithm. Finally, the Brenner region energy method is developed by combining the energy gradient of the Brenner function method and the improved fusion weight in the region energy method. The simulation results verify that the proposed MBREWTIF algorithm improves the content and clarity of image information and reduces the discrepancy in the dual radar fusion process compared with other existing algorithms.

关键词： Wavelet transforms Navigation Simulation Radar imaging Market research High frequency Image fusion

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Experimental Investigation on Sloshing Mitigation Effect of Floating Foam Balls 32nd

Experimental Investigation on Sloshing Mitigation Effect of ...

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32nd International Ocean and Polar Engineering Conference, ISOPE 2022

作者： Zhou, Zhimin Dai, Jierao Zhang, Chongwei Su, Peng Ning, Dezhi Science and Technology on Underwater Test and Control Laboratory the 760th Research Institute of China Shipbuilding Industry Corporation Liaoning Province Dalian China State Key Laboratory of Coastal and Offshore Engineering Dalian University of Technology Liaoning Province Dalian China

ISBN: (纸本)9781880653814

This study considers an anti-sloshing technique based on floating foam balls. Physical experiments are conducted in a rectangular tank to investigate the sloshing mitigation effect (measured by the wave height reduction factor, WHRF). Both the wave elevation and dynamic pressure in the sloshing tank are analyzed for different sizes of foam balls. It is found that floating foam balls can help reduce the sloshing violence and the corresponding pressure amplitude at the resonance condition. The sloshing mitigation effect increases with the layer number of foam balls. Meanwhile, for the sloshing tank with a fixed thickness of foam layer, smaller foam balls have a stronger sloshing mitigation effect. The sloshing mitigation effect tends to have positive correlation with the number of contacts of foam balls. © 2022 by the International Society of Offshore and Polar Engineers (ISOPE).

关键词： Tanks (containers)

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Microbial phenolic metabolites 3-(3',4'-dihydroxyphenyl)propanoic acid and 3',4'-dihydroxyphenylacetic acid prevent obesity in mice fed high-fat diet

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Food science and Human Wellness 2024年第1期13卷 327-338页

作者： Wanbing Chen Ruonan Liu Xiaoling Zhu Qun Lu Hong Yang Rui Liu College of Food Science and Technology Huazhong Agricultural UniversityWuhan 430000China Key Laboratory of Environment Correlative Dietology(Huazhong Agricultural University) Ministry of educationWuhan 430000China Wuhan Engineering Research Center of Bee Products on Quality and Safety Control Wuhan 430000China Key Laboratory of Urban Agriculture in Central China Ministry of Agriculture and Rural AffairsWuhan 430000China Hubei Provincial Institute for Food Supervision and Test Wuhan 430070China

Obesity is associated with numerous metabolic disorders,and dietary polyphenols have been confirmed to have beneficial effects on the metabolism in ***,the effect of 3-(3’,4’-dihydroxyphenyl)propanoic acid(DHPA)and 3’,4’-dihydroxyphenylacetic acid(DHAA),two main metabolites of dietary polyphenols,on obesity remains poorly *** this study,DHPA and DHAA were found to alleviate obesity,as well as regulate insulin resistance,lipid metabolism,and oxidative stress response in high-fat diet(HFD)***,the 16S rRNA sequencing and UHPLC-Q-TOF/MS demonstrated that DHPA and DHAA only slightly disturbed the intestinal microbiome,but significantly altered the urine metabolome of HFD mice mainly by regulating pentose and glucuronate interconversion,tyrosine metabolism,pentose phosphate and tricarboxylic acid(TCA)cycle as indicated by metabolic pathway analysis based on Kyoto Encyclopedia of Genes and Genomes(KEGG)*** analysis revealed that the differential metabolites are strongly associated with body weight,blood glucose,insulin level,and superoxide dismutase(SOD)enzyme *** results revealed that DHPA and DHAA exert their anti-obesity effect by regulating important metabolites in the glucose,lipid and tyrosine metabolism pathways.

关键词： Obesity Dietary polyphenol metabolites Gut microbiota Metabonomics

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A Radar Signal Modulation Recognition Algorithm Based on Multi-branch Fusion Difference 6

A Radar Signal Modulation Recognition Algorithm Based on Mul...

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6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Jiang, Sisi Gao, Jingpeng Jiang, Zhiye Ye, Fang College of Information and Communication Engineering Harbin Engineering University Harbin China Beijing Institute of Space Long March Vehicle National Key Laboratory of Science and Technology on Test Physics and Numerical Mathematics Beijing China College of Information and Communication Engineering Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology Harbin China

ISBN: (纸本)9798350399059

The time-frequency images of radar modulation signals are similar at low signal-to-noise ratios, which will lead to lower recognition accuracy. This paper proposes an algorithm based on multi-branch fusion differences to identify radar modulation signals. The algorithm designs a multi-branch fusion differential module based on the attention mechanism and differential thinking, to extract time-frequency image fine-grained features and improve the Convolution Neural Network characterization ability. After that, a dual-branch differential network is proposed by combining vanilla convolution and multi-branch fusion difference module. The network can fuse global and detailed features of time-frequency images, which can achieve radar signal modulation recognition. The simulation results show that the recognition accuracy of the algorithm can reach 93.17% at 0dB. Therefore, the algorithm can obtain high recognition accuracy and has high recognition performance. © 2023 IEEE.

关键词： Convolution

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