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8th Symposium on Novel Photoelectronic Detection technology and Applications

作者： Guo, Xiaoyun Wu, Chengfeng Fang, Xueli Xu, Cheng Li, Hui Beijing Institute of Mechanical and Electrical Engineering Beijing China Beijing Institute of Mechanical and Electrical Engineering Science and Technology on Complex System Control and Intelligent Agent Cooperative Laboratory Beijing China Beijing Institute of Mechanical and Electrical Engineering Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Cross-domain synergy and intelligence will become important features of future warfare. Cross-domain guidance is one of the typical forms of cross-domain synergy. It can significantly improve the ability to respond quickly to random targets and time-sensitive targets and enhance the anti-jamming ability in the case of confrontation. This article introduces the concept and winning mechanism of cross-domain guidance, analyzes the research progress of cross-domain guidance at home and abroad, combs the key technologies of cross-domain guidance, summarizes the current challenges and problems in cross-domain guidance research, and proposes development suggestions. © 2022 SPIE

关键词： Optical engineering

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simulation Experiment Factor Screening Method Based on Combinatorial Optimization 21st

Simulation Experiment Factor Screening Method Based on Combi...

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21st Asia simulation Conference, AsiaSim 2022

作者： Zhang, Peng Li, Wei Chen, Qingao Tong, Jiahui Control and Simulation Center Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789811991974

When conducting complex simulation experiments, experimental factor screening is of great significance to improve the effectiveness and efficiency of the simulation. Aiming at the problems of unsatisfactory accuracy and efficiency of existing experimental factor screening methods, a simulation experiment factor screening method based on combinatorial optimization (EFS-CO) was designed. EFS-CO abstracts the experimental factor screening problem into a combinatorial optimization problem, designs the experimental factor evaluation criteria based on the support vector machine model, uses it as the fitness function of the genetic algorithm, and finally obtains the significant experimental factor. At the same time, to eliminate the influence of the randomness of the genetic algorithm on the screening results, the screening results of the experimental factors were determined based on the results of multiple experiments. Finally, the effectiveness of the method is verified by example analysis and comparing the results with the traditional experimental factor screening method. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Combinatorial optimization

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A GNSS Spoofing Detection Method based on Sparse Decomposition Technique

A GNSS Spoofing Detection Method based on Sparse Decompositi...

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2022 IEEE International Conference on Unmanned systems, ICUS 2022

作者： He, Yuxin Zhuang, Yaqiang Zhuang, Xuebin Lin, Zijian School of System Science and Engineering Sun Yat-sen University Guangzhou China School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing China Science and Technology On Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

By broadcasting false Global Navigation Satellite system (GNSS) signals, spoofing attacks will induce false position and time fixes within the victim receiver. In this article, we propose a Sparse Decomposition (SD)-based spoofing detection algorithm in the acquisition process, which can be applied in a single-antenna receiver. In the first step, we map the Fast Fourier transform (FFT)-based acquisition result in a two-dimensional matrix, which is a distorted autocorrelation function when the receiver is under spoof attack. In the second step, the distorted function is decomposed into two main autocorrelation function components of different code phases. The corresponding elements of the result vector of the SD are the code-phase values of the spoofed and the authentic signals. Numerical simulation results show that the proposed method can not only outcome spoofing detection result, but provide reliable estimations of the code phase delay of the spoof attack. © 2022 IEEE.

关键词： Fast Fourier transforms

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Agent Optimization Decision-Making Method Based on Self-Play

Agent Optimization Decision-Making Method Based on Self-Play

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IEEE International Conference on Unmanned systems (ICUS)

作者： Chunyi Duan Rongling Xiong Luyou Zhang Huaming Ran Qing Yang National Key Laboratory of Complex Aviation System Simulation China Electronics Technology Group Corporation Tenth Research Institute Chengdu China National Key Laboratory of Complex Aviation System Simulation China Electronic Technology Group Corporation Tenth Research Institute Chengdu China Unit 93216 People's Liberation Army of China Beijing China

ISBN: (数字)9798350384185

ISBN: (纸本)9798350384192

Aiming at the problem that the traditional deep reinforcement learning algorithm has poor generalization ability of generating strategies when solving complex game problems such as real-time strategy games, an agent strategy optimization method based on the combination of expert knowledge and self-play is proposed. Firstly, the opponent strategy of the agent is designed based on expert knowledge, and the corresponding strategy is generated by the proximal policy optimization algorithm (PPO), and the generated strategy is continuously put into the opponent strategy pool to provide a variety of opponent strategies for the agent in the training process. Through continuous iterative confrontation, the agent's autonomous decision-making ability in the face of different opponent strategies is improved. The simulation results show that compared with the traditional deep reinforcement learning algorithm, the introduction of the self-play training framework can significantly improve the average confrontation rate of the agent strategy, improve the robustness and generalization ability of the agent confrontation strategy, guide the agent to learn more effective tactical strategy, and achieve the adversarial advantage of “Priority first enemy discovery, Priority enemy launch”.

关键词： Training simulation Decision making Optimization methods Games Deep reinforcement learning Market research Robustness Real-time systems Iterative methods

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Measurement-based Path Loss Prediction and Analysis in Water Scenarios

Measurement-based Path Loss Prediction and Analysis in Water...

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2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024

作者： Li, Hanpeng Chen, Xiaomin Li, Hangang Ma, Jian Ye, Xuchao Song, Lixin Zhang, Taotao Zhong, Weizhi Zhu, Qiuming Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing211106 China Aviation Key Laboratory of Science and Technology On Aero Electromechanical System Integration Nanjing211106 China State Key Lab. of Complex Electromagnetic Environment Effects On Electronics and Information System Luoyang471003 China

ISBN: (纸本)9798350383317

Unmanned aerial vehicles (UAVs) have enabled the unmanned management of water areas. Path loss (PL) serves as a critical factor that affects the UAV communication quality. In this work, a PL model for UAV channel in water scenarios is proposed, aiming to explore the multidimensional relationship between transceiver distance, carrier frequency, UAV height, and PL by constructing an Artificial Neural Network (ANN). Moreover, channel measurements are conducted in a river area, and the obtained data are analyzed using the proposed ANN model as well as the close-in (CI) model. The analysis results demonstrates that the PL increases initially and then declines as the UAV height increases. The proposed ANN model has higher prediction accuracy than the classic empirical model, and can achieve precise prediction of the PL in water scenarios. © 2024 IEEE.

关键词： Neural networks

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Research on Requirement Analysis Method of Space Equipment technology system based on capability

Research on Requirement Analysis Method of Space Equipment T...

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IEEE Information technology and Mechatronics Engineering Conference (ITOEC)

作者： Ping Jian Wei Xiong Desehng Liu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

"Demand traction and technology promotion" is the main law of equipment system construction and development. Scientific determination and quantitative evaluation of key technologies in the field of military equipment is the key and difficult point of system macro demonstration. Based on the analysis of the technical structure of space information equipment technology, this paper proposes a capability-based requirement analysis framework and process of space information equipment technology system, establishes a requirement analysis model of technology system, and constructs its technical system by taking space situation awareness system as an example. It provides technical basis for the requirement analysis of space information equipment technology system.

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Research on the information system architecture design framework and reference resources of American Army 3

Research on the information System architecture design frame...

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3rd International Conference on Advanced Information science and system, AISS 2021

作者： Jian, Ping Space Engineering University Science and Technology 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. © 2021 ACM.

关键词： Information use

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Evaluation of Joint Information Environment Service Capability of Space-based Network Information system Based on ANP-Fuzzy Comprehensive Evaluation Method 10

Evaluation of Joint Information Environment Service Capabili...

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10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Han, Chi Jian, Ping Xiong, Wei Fu, Jingyu Aerospace Information Institute Space Engineering University Beijing China Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

In the increasingly systematic and networked environment of aerospace equipment, the space-based information service capability is not only affected by the platform and payload capacity of the mission spacecraft, but also increasingly restricted by the network characteristics and network environment for space-based information acquisition. In this context, the joint information environment of the space-based network information system is constructed (JIESNIS). The service capability evaluation index system of JIESNIS is constructed pertinently. Analytic Network Process (ANP) and fuzzy comprehensive evaluation method are combined to evaluate the service capability of JIESNIS. Based on the background of the space-based network information system joint information environment support operation under the customized and active service mode, the simulation model is constructed. The proposed ANP-Fuzzy comprehensive evaluation method is adopted to evaluate the capability JIESNIS, meanwhile the effectiveness of the method is verified. © 2022 IEEE.

关键词： Information services

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BiGRU-Attention-Based Specific Emitter Identification Method

BiGRU-Attention-Based Specific Emitter Identification Method

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Robotics, Intelligent Control and Artificial Intelligence (RICAI), International Conference on

作者： Rongling Xiong National Key Laboratory of Complex Aviation System Simulation Chengdu China The 10th Research Institute of China Electronics Technology Group Corporation Chengdu China

ISBN: (数字)9798331541699

ISBN: (纸本)9798331541705

Specific emitter identification plays a pivotal role in electronic countermeasures within the realm of complex electromagnetic environments. This study introduces a novel method for specific emitter identification, leveraging the capabilities of BiGRU-Attention (BiGRU-Att). The process begins with the segmentation of steady-state signal slices from the targeted emitter. Subsequently, six distinct features, including wavelet entropy and amplitude skewness within the timefrequency domain, are meticulously extracted. These extracted sequence feature data are then employed to train the model, culminating in the acquisition of the identification outcome. The methodology was rigorously tested using TETRA communication signals from nine distinct emitters. Experimental findings affirm that the model proficiently harnesses the timing information inherent in the specific emitter's signal, substantially enhancing the identification accuracy. This approach not only underscores the effectiveness of integrating BiGRU and attention mechanisms for signal classification but also sets a precedent for future research in specific emitter identification under intricate electromagnetic conditions.

关键词： Attention mechanisms Accuracy Wavelet domain Signal processing Feature extraction Entropy Timing Steady-state Electromagnetics Time-domain analysis

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A Multi-Modal Multi-Objective Evolutionary Algorithm Based on Dual Decomposition and Subset Selection

SSRN

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SSRN 2023年

作者： Xiong, Minghui Xiong, Wei Liu, Zheng Liu, Yali Han, Chi Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

Multi-modal multi-objective problems (MMOPs) arise frequently in real world applications, in which multiple Pareto-optimal solution sets (PSs) correspond to the same point on the Pareto front (PF). Diversity preservation is a crucial issue in multi-modal multi-objective evolutionary algorithms (MMEAs), which aims at evolving the population toward the PF and equivalent PSs with a uniform distribution and good spread. In spite of many diversity preservation approaches in MMEAs, most of them guarantee the diversity in decision space with a degraded performance in objective space. To address the above issues, this article proposes a MMEA based on dual decomposition and subset selection, which employes the weight vectors and grids to decompose both the objective and decision spaces. On the basis of dual decomposition, the mating selection are adaptively performed based on estimated optimization stages of current subproblem. Moreover, a subset with good diversity in both the objective and decision spaces are selected from the promising solutions ever collected during the evolution process. Experimental results on 22 benchmark problems demonstrate our advantages to maintain a more balanced diversity in both objective and decision spaces. © 2023, The Authors. All rights reserved.

关键词： Multiobjective optimization

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