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2024 OES China Ocean Acoustics, COA 2024

作者： Tian, Yanan Han, Xiao Yin, Jingwei Zhang, Yangfan Pu, Zhanqing Huang, Haining Institute of Acoustics Chinese Academy of Science Kay Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Beijing100190 China College of Underwater Acoustic Engineering Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology Harbin150001 China Harbin Engineering University Key Laboratory for Polar Acoustics and Application of Ministry of Education Harbin150001 China

ISBN: (纸本)9798350340297

An important strategy for signal processing in impulsive noise environment is to first suppress the high amplitude mutations by a preprocessor and then use the signal processing method under Gaussian noise. This paper proposes an equalizer for joint impulsive noise extended preprocessing, which performs a nonlinear transform of received signals disturbed by impulsive noise, retaining more useful information while remaining robust. Combined with the sparse characteristics of the equalizer, the improved proportional stable fast transversal filter is then exploited to improve the convergence speed and reduce the equalization error. The results of underwater acoustic communication test in the Yellow Sea verify the superiority of the proposed method. © 2024 IEEE.

关键词： Transversal filters

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An airborne radar clutter suppression algorithm based on negative log-likelihood minimization

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IEEE Sensors Journal 2025年第12期25卷 22430-22440页

作者： Cao, Junxiang Wang, Tong Cui, Weichen National Key Laboratory of Radar Signal Processing Xidian University Xi’an China Beijing Aerospace Automatic Control Institute Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligence Control Beijing China

Space time adaptive processing (STAP) plays an important role in the field of airborne radar clutter suppression. However, due to the inhomogeneity of the clutter environment, the radar system is unable to obtain enough training samples, which will lead to a significant reduction in the clutter suppression performance of STAP. To address this issue, an airborne radar clutter suppression algorithm based on negative log-likelihood minimization is proposed in this work. Firstly, we use the negative log-likelihood function minimization criterion to give the cost function for estimating the clutter plus noise covariance matrix (CNCM), which is a nonconvex optimization problem. Secondly, to estimate the CNCM, we use the majorization-minimization(MM) algorithm and alternating optimization to iteratively solve the above nonconvex problem. Finally, we utilize the estimated CNCM to construct a space time filter to suppress the ground clutter. Simulation results show that the proposed algorithm performs well in terms of both clutter suppression and convergence speed in the case of insufficient training samples. © 2001-2012 IEEE.

关键词： Radar clutter

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Heterogeneous-attributes enhancement deep framework for network embedding

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Frontiers of Computer science 2021年第6期15卷 121-131页

作者： Lisheng QIAO Fan ZHANG Xiaohui HUANG Kai LI Enhong CHEN Anhui Province Key Laboratory of Big Data Analysis and Application University of Science and Technology of ChinaHefei 230022China National Key Laboratory of Blind Signal Processing Chengdu 610041China School of Computer Science and Technology University of Science and Technology of ChinaHefei 230022China

Network embedding,which targets at learning the vector representation of vertices,has become a crucial issue in network ***,considering the complex structures and heterogeneous attributes in real-world networks,existing methods may fail to handle the inconsistencies between the structure topology and attribute ***,more comprehensive techniques are urgently required to capture the highly non-linear network structure and solve the existing inconsistencies with retaining more *** that end,in this paper,we propose a heterogeneous-attributes enhancement deep framework(HEDF),which could better capture the non-linear structure and associated information in a deep learningway,and effectively combine the structure information of multi-views by the combining *** this line,the inconsistencies will be handled to some extent and more structure information will be preserved through a semi-supervised *** extensive validations on several real-world datasets show that our model could outperform the baselines,especially for the sparse and inconsistent situation with less training data.

关键词： network embedding heterogeneous-attributes deep framework inconsistent

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Deep Graph Learning on Bipartite Observed Networks 2

Deep Graph Learning on Bipartite Observed Networks

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2nd Asia-Pacific Conference on Communications technology and Computer science, ACCTCS 2022

作者： Wei, Qiang School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China National Key Laboratory of Science and Technology on Blind Signal Processing Chengdu China

ISBN: (纸本)9781665400343

In real-world settings, network structure observations are often incomplete due to the difficulties of data collection. However, most existing network analysis methods assume that the whole underlying structure is observed. In this paper, we focus on a common but overlooked network observation, named bipartite observation. We systematically study the influence of bipartite observations, and give an analytical representation using the stochastic block model. Moreover, we propose a new framework LP-GNN, which combines link prediction, sparsification, and graph neural networks for node classification tasks in bipartite observations. The effectiveness of LP-GNN is illustrated by experimental results on real datasets. © 2022 IEEE.

关键词： Graph neural networks

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MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for Medical Image Segmentation

MSCA-UNet: Multi-Scale Channel Adaptive Sensing Module for M...

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2024 International Conference on New Trends in Computational Intelligence, NTCI 2024

作者： Diao, Liangjin Shen, Longfeng Chen, Jiacong Ge, Fangzhen Li, Mengwen College of Computer Science and Technology Huaibei Normal University Anhui Huaibei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Anhui University Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui Hefei China

ISBN: (纸本)9798331517021

Recent advancements in CNNs for medical image segmentation have focused on the combination of CNN and Transformer architectures to capture both local and global features. However, challenges remain, such as effectively utilizing fused features at the encoder-decoder bottleneck and addressing blurred object edges in datasets. To tackle these issues, we introduce a multi-scale channel adaptive sensing module, enhancing the model's representational and perceptual capabilities by integrating multi-scale and channel-specific information. Additionally, we propose a cross-perception module and multi-scale segmentation head to improve global coordination and multi-scale information gathering. Experiments on the ACDC and Synapse datasets demonstrate our model's superiority. © 2024 IEEE.

关键词： Image segmentation

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Power Allocation for Multiple Sensing and Communication Tasks Using Massive MIMO Base Station 12

Power Allocation for Multiple Sensing and Communication Task...

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12th IEEE International Conference on Control, Automation and Information sciences, ICCAIS 2023

作者： Cao, Ziyi Wang, Xuanqi Yuan, Ye Yi, Wei Yan, Junkun University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China University of Electronic Science and Technology of China Glasgow College Chengdu China Xidian University National Key Laboratory of Radar Signal Processing Xi'an China

ISBN: (纸本)9798350328783

In this paper, we consider a joint sensing and communication scenario with the simultaneous implementation of multiple sensing and communication tasks employing a massive multiple-input multiple-output (MIMO) base station system. This system operates on orthogonal frequency-division multiplexing (OFDM) modulations for both communication and sensing signals. To evaluate the performance of dual functions, we derive the lower bound on the achievable downlink rate for communication and signal-to-interference-plus-noise ratio (SINR) for radar detection. By focusing on the power allocation strategy, we propose two optimization cases with different emphasis on sensing and communication to explore the trade-off between radar performance and communication quality. The formulated optimization problem can be effectively solved via the binary search technique, and simulation results demonstrate its efficiency. © 2023 IEEE.

关键词： Base stations

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Efficient Joint Deployment of Multi-UAVs for Target Tracking 19th

Efficient Joint Deployment of Multi-UAVs for Target Tracki...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Wang, Jiashuai Sun, Lu Wan, Liangtian Zheng, Jibin Wang, Xianpeng Institute of Information Science Technology Dalian Maritime University Dalian China Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province School of Software Dalian University of Technology Dalian China National Laboratory of Radar Signal Processing Xidian University Xian China State Key Laboratory of Marine Resource Utilization in South China Sea and College of Information Science and Technology Hainan University Haikou China

ISBN: (纸本)9783031651229

Target tracking plays an important role in many real-world applications, such as in vegetation protection, disaster rescue, wildlife observation, etc. Multiple unmanned aerial vehicles (multi-UAVs) can provide effective services for target tracking through efficient joint deployment satisfying the system constraints. The constraints include the energy and no-fly zone constraint of each UAV, the communication distance and safe distance among multi-UAVs, the number of UAVs. As there exists no ready-made model that considers all the above constraints, meanwhile, the energy and no-fly zone restrict the deployment of multi-UAVs for target tracking. In this paper, we propose a model which considers no-fly zone and the energy constraint simultaneously for the joint deployment of multi-UAVs. The objective function is defined as minimizing the distance of each UAV and the threats of target so that it can deploy multi-UAVs reasonably. Second, we propose an improved Nondominated Sort Genetic Algorithm II (NSGAII) with new encoding and decoding mechanisms and the no-fly zone avoidance strategy which can improve the searching performance of joint deployment of multi-UAVs. Finally, we design a set of experiments and the experimental results demonstrate that our proposed algorithm can deploy multi-UAVs for target tracking efficiently compared with the state-of-the-arts methods. © ICST Institute for Computer sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Unmanned aerial vehicles (UAV)

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A Novel Postprocessing Method for Ship Detection in SAR Images Using Greedy Strategies 11

A Novel Postprocessing Method for Ship Detection in SAR Imag...

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11th Joint International Information technology and Artificial Intelligence Conference, ITAIC 2023

作者： Liu, Yunfeng Car, Tianyi Wu, Xiaonan Gu, Tong Zhang, Linglong Li, Yachao HangZhou Institute of Technology Xian University HangZhou China Institute of the Second Academy of Aerospace Science and Industry Beijing China Xian University National Key Laboratory of Radar Signal Processing Xian China

ISBN: (纸本)9798350333664

This article proposes a novel post-processing method for ship detection in synthetic aperture radar (SAR) images, which addresses the issue of head to tail separation that cannot be avoided when using morphological compensation to process candidate regions generated by the constant false alarm detection (CFAR). This algorithm first constructs a connected domain for the candidate regions generated by CFAR, uses a greedy strategy to update the centroid and size of the connected domain, and finally unreasonable candidate connected domains are removed to eliminate high noise sea clutter and large volume non ship targets. Compared to the morphological compensation post-processing method, the greedy strategy the greedy strategy fully utilizes the prior knowledge of ship data in the post-processing of constant false alarm ship detection results, overcomes the disadvantage of complex morphological compensation methods that require fine-tuning parameters in post-processing, and completely solves the problem of head tail separation that cannot be completely solved, improving the accuracy of synthetic aperture radar ship detection. The effectiveness and robustness of our method have been demonstrated by the data from the domestically produced Gaofen 3 satellite and the data from the European Space Agency's TerraSAR-X satellite. © 2023 IEEE.

关键词： constant false alarm rate (CFAR) greedy strategies post processing ship detection

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Solar evaporator coupled with strong/weak convection and its cascade utilization

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science Bulletin 2025年第8期70卷 1264-1274页

作者： Zhengtong Li Jia-Han Zhang Jing Zhang Peng Yan Tao Yang Chao Yang Peng Lin Taotao Meng Meng An Yingtang Zhou Xingtao Xu The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentState Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringHohai UniversityNanjing 210098China Electronic-Photonic Smart Sensing Device R&D Team Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal ProcessingSchool of Electronic Information EngineeringInner Mongolia UniversityHohhot 010021China Ningbo Key Laboratory of Green Petrochemical Carbon Emission Reduction Technology and Equipment Zhejiang Institute of Tianjin UniversityNingbo 315201China Department of Mechanical Engineering The University of TokyoTokyo113-8656Japan Marine Science and Technology College Zhejiang Ocean UniversityZhoushan 316022China College of Material Science and Engineering Nanjing Forestry UniversityNanjing 210037China

Modulating the macro/nanoarchitecture of evaporators to effectively harness diverse renewable energy sources is of paramount importance for optimizing the performance of solar-driven interfacial *** by the geometric structure of a windmill,we designed an innovative solar evaporator that expertly harnesses both strong and weak *** the purification of heavy metal wastewater,the maximum evaporation rate can reach 4.95 kg m^(−2)h^(−1)under one sun irradiation by introducing an ultralow wind flow(0.1 m s^(−1)),yielding an evaporation rate that is twice that of traditional ***,the gradual deposition of inorganic salt sediments on the evaporator surface is clearly *** address this issue,we present several innovative proof-of-concept cascade treatments that significantly extend the evaporator’s operational *** innovative design and exceptional performance of this solar evaporator open avenues for advancements in sustainable water treatment,energy generation,and environmental remediation.

关键词： Interfacial evaporation Petiole-based solar evaporators Secondary flow Cascade utilization Wastewater treatment

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Synthetic Aperture Positioning: A Review

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Journal of Beijing Institute of technology 2024年第2期33卷 89-102页

作者： Guangcai Sun Wenlong Dong Yuqi Wang Mengdao Xing National Key Laboratory of Radar Signal Processing Xidian UniversityXi’an 710071China School of Communication and Information Engineering Xi’an University of Science and TechnologyXi’an 710054China National Key Laboratory of Radar Signal Processing and the Academy of Advanced Interdisciplinary Research DepartmentXidian UniversityXi’an 710071China

Obtaining precise position of interested emitters passively has wide applications in both civilian and military *** from traditional parameter measurement and direct position determination(DPD)method,recently a new passive localization method based on synthetic aper-ture technique,named synthetic aperture positioning(SAP),has been *** method com-pensates for the nonlinear phase produced by relative motion between the moving platform and the emitter,achieving coherent summation of intercepted *** SAP can obtain high-resolution and high-precision localization results at a low signal-to-noise *** paper summarizes the research progress of SAP,including localization principles,spaceborne applications,and application scope ***,the possible future outlook of SAP is considered.

关键词： passive localization synthetic aperture positioning coherent processing

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