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IET International Radar Conference 2023, IRC 2023

作者： Hu, Yihang Ai, Xiaofeng Wang, Manxi Zheng, Yuqing College of Electronic Science and Technology National University of Defense Technology Changsha410073 China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System Luoyang471003 China

ISBN: (数字)9781837240982

ISBN: (纸本)9781839539954

The length of ships plays an important role in target classification and recognition, but to estimate ships' length in real time is difficult by traditional single radar observation. To solve this problem, the dual-radar collaborative observation method is proposed in this study to jointly calculate the ship length, by using the obtained HRRP (High Range Resolution Profile). The effect of SNR (signal-to-noise ratio) on estimation error of system parameters and the ship length estimated is simulated. The results show that the method can estimate the ship length effectively, the estimation error of the ship length is not more than one meter under high SNR (more than 10dB), which provides a reference for feature extraction and target recognition of ships. © The Institution of Engineering & technology 2023.

关键词： Radar target recognition

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NUDIF: A Non-Uniform Deployment Framework for Distributed Inference in Heterogeneous Edge Clusters

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Future Internet 2025年第4期17卷 168-168页

作者： Li, Peng Qing, Chen Liu, Hao National Key Laboratory of Complex Aviation System Simulation Chengdu610036 China Southwest China Institute of Electronic Technology Chengdu610036 China Beijing100876 China

Distributed inference in resource-constrained heterogeneous edge clusters is fundamentally limited by disparities in device capabilities and load imbalance issues. Existing methods predominantly focus on optimizing single-pipeline allocation schemes for partitioned sub-models. However, such approaches often lead to load imbalance and suboptimal resource utilization under concurrent batch processing scenarios. To address these challenges, we propose a non-uniform deployment inference framework (NUDIF), which achieves high-throughput distributed inference service by adapting to heterogeneous resources and balancing inter-stage processing capabilities. Formulated as a mixed-integer nonlinear programming (MINLP) problem, NUDIF is responsible for planning the number of instances for each sub-model and determining the specific devices for deploying these instances, while considering computational capacity, memory constraints, and communication latency. This optimization minimizes inter-stage processing discrepancies and maximizes resource utilization. Experimental evaluations demonstrate that NUDIF enhances system throughput by an average of 9.95% compared to traditional single-pipeline optimization methods under various scales of cluster device configurations. © 2025 by the authors.

关键词： Deep neural networks

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Research on Segmented Reconstruction Multiple False Targets Suppression Jamming technology based on Improved Quantum-Real Genetic Algorithm

Research on Segmented Reconstruction Multiple False Targets ...

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IET International Radar Conference 2023, IRC 2023

作者： Wang, Qingping Wang, Yanqi Wang, Chao Gong, Zhenghui Yuan, Naichang College of Electronic Science and Technology National University of Defense Technology Changsha China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Changsha China

ISBN: (纸本)9781839539954

An improved quantum-real hybrid genetic algorithm (IQGA-RGA) with a segmental-reconstruction jamming-signal optimization model is proposed for the segmental reconstruction of a multi-false target jamming-signal optimization problem. The jamming evaluation function is set based on the mean-level constant false-alarm detection threshold, and the objective function is optimized using IQGA-RGA. The introduction of local quantum catastrophes at the early stage of evolution improves the optimization speed of the algorithm at an early stage. With improved optimization effect under the initial quantum coding condition, the optimization result of the real-coded genetic algorithm at the later stage is closer to the global optimal solution. simulation results show that compared with the real number-coded genetic algorithm and quantum genetic algorithm, the IQGA-RGA has the characteristics of fast convergence speed and strong optimization searching ability, and it can effectively solve the optimization problem of segmented reconstructed jamming signals. © The Institution of Engineering & technology 2023.

关键词： Constant false alarm rate detection Jamming signal optimization Quantum genetic algorithm Radar jamming

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Analysis of the SEIR mean-field model in dynamic networks under intervention

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Infectious Disease Modelling 2025年第3期10卷 850-874页

作者： Li, Jiangmin Jin, Zhen Tang, Ming Complex System Research Center Shanxi University Shanxi Taiyuan 030006 China Key Laboratory of Complex Systems and Data Science of Ministry of Education Shanxi University Shanxi Taiyuan 030006 China Shanxi Key Laboratory for Mathematical Technology in Complex Systems Shanxi University Shanxi Taiyuan 030006 China School of Physics and Electronic Science East China Normal University Shanghai 200241 China Shanghai Key Laboratory of Multidimensional Information Processing East China Normal University Shanghai 200241 China

For emerging respiratory infectious diseases like COVID-19, non-pharmaceutical interventions such as isolation are crucial for controlling the spread. From the perspective of network transmission, non-pharmaceutical interventions like isolation alter the degree distribution and other topological structures of the network, thereby controlling the spread of the infectious disease. In this paper, we establish a SEIR mean-field propagation dynamics model for the synchronous evolution of dynamic networks caused by propagation and tracing isolation. We employ the reducing-dimension method to convert the mean-field model in networks into an equivalent and simpler low-dimension model, and then calculate the exact expression of the final size. In addition, we get the differential equations of the degree distribution over time in dynamic networks under tracing isolation and the relationships between the first and second moment of the dynamic network. While the degree of a node remains constant regardless of its state in many previous studies, this paper takes into account that the degree of each node changes over time whatever its state under the disease spread and intervention measures. © 2025 The Authors

关键词： Degree distribution Dynamic network The final size Tracing isolation

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Antenna Position and Power Allocation Design for Shared Aperture Sparse Linear Array 10

Antenna Position and Power Allocation Design for Shared Aper...

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10th International Conference on Control, Automation and Information sciences, ICCAIS 2021

作者： Liu, Ruitao Wei, Wenqiang Yu, Xianxiang Lu, Qinghui Cui, Guolong Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aeronautical System Simulation Beijing China

ISBN: (纸本)9781665440295

This paper considers the joint design of the antenna position and power allocation in a shared aperture sparse phased array. We introduce a new optimization model relying on the minimization of the Peak Sidelobe Levels (PSL) of beampattern under the antenna position constraints, mainlobe constraints and transmit power constraints. In order to tackle the non-convex problem, we resort to a Modified Membrane Algorithm based on P systems (MMAPS) along with its each iteration executed in parallel. Finally, numerical simulations verify the effectiveness of the proposed algorithm. The results highlight that MMAPS can obtain a better beampattern in terms of the PSL in comparison with the available methods. © 2021 IEEE.

关键词： Iterative methods

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Evolutionary Interest Representation Network for Click-Through Rate Prediction

Evolutionary Interest Representation Network for Click-Throu...

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2023 IEEE International Conference on Web Services, ICWS 2023

作者： Zhou, Renjie Jin, Zhenming Wan, Jian Zhang, Jilin Guo, Xingyu Liu, Qiang Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education School of Computer Science and Technology Hangzhou China Hangzhou Dianzi University Key Laboratory of Complex Systems Modeling and Simulation of the Ministry of Education Itmo Joint Institute Hangzhou China Zhejiang University of Science and Technology School of Information and Electronic Engineering Hangzhou China Zhejiang Police College Dept. of Computer and Information Technology Hangzhou China

ISBN: (纸本)9798350304855

The rapid development of the Internet has revo-lutionized our lives, providing us with an array of convenient services. However, this revolution has also led to the problem of data overload. Personalized recommendation services have been widely recognized as an effective solution to this problem by both the industrial and academic communities. Accurate prediction of click-through rate (CTR) is a critical task in personalized recommendation systems since it can improve the user's shopping experience, ultimately increasing revenue for the platform. To achieve accurate CTR prediction, it is crucial to capture user interests. While several methods for interest modeling exist, challenges related to user interest evolution and user behavior noise need further attention. This paper proposes a novel CTR prediction model named the Evolutionary Interest Representation Network (EIRN), which learns the evolving interest representation of users from their behaviors, profiles, and environmental attributes. In the model, we introduce an advertisement correlation graph decomposition layer and a noise filter layer to enhance and purify the user behavior representation. An interest extraction layer is designed to capture sequential correlations and common characteristics between user behaviors, representing their interests. Additionally, as user interests evolve over time and their importance changes, an attention-based interest evolution layer is designed to track the evolution of user interests. Our proposed method is validated using four public datasets and an industrial dataset, showing its superiority over existing CTR prediction methods. © 2023 IEEE.

关键词： Forecasting

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DOA Estimation of Distributed mmWave Radar system via Fast Iterative Adaptive Approach 10

DOA Estimation of Distributed mmWave Radar System via Fast I...

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10th International Conference on Control, Automation and Information sciences, ICCAIS 2021

作者： Wei, Wenqiang Liu, Ruitao Yu, Xianxiang Lu, Qinghui Cui, Guolong Fang, Xueli Zhang, Lei University of Electronic Science and Technology of China Chengdu China Key Laboratory of Complex Aeronautical System Simulation Beijing China

ISBN: (纸本)9781665440295

In this paper, we propose a fast algorithm based on iterative adaptive approach to address the DOA estimation for the distributed mmWave radar system under the challenging conditions of a single snapshot and coherent sources. In order to improve angular resolution, let each transmit sensor emit the same signal in time-sharing to construct a large aperture virtual array. We first roughly derive azimuth angles with one mmWave radar using conventional beamforming. Then, resorting to iterative adaptive approach, we search for the accurate DOA estimations within a very small region based on the estimated azimuth to improve computational efficiency and angular resolution. Finally, numerical simulation results are provided to demonstrate superior performance of the proposed algorithm over some counterparts. © 2021 IEEE.

关键词： Computational efficiency

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Multiple interferences suppression with space-polarization null-decoupling for polarimetric array

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Journal of systems Engineering and electronics 2021年第1期32卷 44-52页

作者： LU Yawei MA Jiazhi SHI Longfei QUAN Yuan State Key Laboratory of Complex Electromagnetic Environmental Effects on Electronics and Information System College of Electronic ScienceNational University of Defense TechnologyChangsha 410073China

The adaptive digital beamforming technique in the space-polarization domain suppresses the interference with forming the coupling nulls of space and polarization *** there is the interference in mainlobe,it will cause serious mainlobe distortion,that the target detection suffers *** overcome this problem and make radar cope with the complex multiple interferences scenarios,we propose a multiple mainlobe and/or sidelobe interferences suppression method for dual polarization array ***,the proposed method consists of a signal preprocessing based on the proposed angle estimation with degree of polarization(DoP),and a filtering criterion based on the proposed linear *** signal preprocessing provides the accurate estimated parameters of the interference,which contributes to the criterion for null-decoupling in the space-polarization domain of *** proposed method can reduce the mainlobe distortion in the space-polarization domain while suppressing the multiple mainlobe and/or sidelobe *** effectiveness of the proposed method is verified by simulations.

关键词： multiple interferences suppression dual polarization array radar null-decoupling

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Target Identity Fusion Method Based on Improved DS Evidence Theory

Target Identity Fusion Method Based on Improved DS Evidence ...

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electronic Information Engineering and Computer technology (EIECT), International Conference on

作者： Yi Wang Desheng Liu Yang Yang Jiatong Liu Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China Space Engineering University Beijing China

Target data detected by multi-sensors often differ from each other due to different sensor performances, resulting in uncertainty of target identity information. Traditional Dempster-Shafer (DS) evidence theory may achieve counter-intuitive outcomes facing evidence conflicts caused by the uncertainty. Aiming for this, a novel target identity fusion method based on improved DS evidence theory is proposed in this paper. Specifically, the method considers the correlation between evidences and the importance of evidences integrally. First, an improved conflict measurement method based on Pearson correlation coefficient matrix is devised to measure the evidence credibility. Next the information volume of evidences is measured by Deng-entropy to indicate the evidence uncertainty. Then the credibility and uncertainty are weighted and combined to modify the basic probability assignment (BPA) of evidences. Ultimately, the modified evidences are fused by Dempster’s combination rule to acquire the final results. Through three numerical analysis examples, this paper demonstrates the superiority of the proposed method over typical previous approaches, which can effectively process evidence conflicts in multi-sensors information fusion.

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Research on the information system architecture design framework and reference resources of American Army 21

Research on the information System architecture design frame...

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Proceedings of the 3rd International Conference on Advanced Information science and system

作者： Ping Jian Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory China

ISBN: (纸本)9781450385862

The concept of architecture is put forward by the US Army, which refers to the composition structure of the system and its mutual relationship, as well as the principles and guidelines guiding the design and development of the system. Architecture design technology and its reference resources have important theoretical and technical support for the top-level design of information system. Based on the analysis of architecture technology and function, this paper systematically studies the connotation and development history of the architecture design framework of the US army, and sorts out the main reference resources of the architecture design of the US army, such as the common joint task list, information system interoperability level model, joint technology architecture. It provides useful reference for the theoretical and technical research of information system top-level design.

关键词： Architecture design

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