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检索条件"机构=Science and Technology on Complex Electronic System Simulation laboratory"

共 530 条记录，以下是121-130 订阅

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Agent Optimization Decision-Making Method Based on Self-Play

Agent Optimization Decision-Making Method Based on Self-Play

引用

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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Automatic Inverse Synthetic Aperture Radar Ship Targets Recognition using Simple Multiple Kernel Learning: Automatic ISAR Ship Targets Recognition using Simple-MKL 24

Automatic Inverse Synthetic Aperture Radar Ship Targets Reco...

引用

Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management

作者： Yuan Wu Fulin Su Xue Li Peipei Zhu Xunwei Xie National Key Laboratory of Complex Aviation System Simulation Southwest China Institute of Electronic Technology Chengdu Sichuan China School of Electronics and Information Engineering Harbin Institute of Technology Harbin Heilongjiang China

ISBN: (纸本)9798400709753

In radar automatic target recognition (RATR), inverse synthetic aperture radar (ISAR) image recognition shows its advantages. Due to the limited sample size of ISAR images, support vector machine (SVM), known for its robustness in small sample classification, is often used for ISAR image recognition. For ISAR images of different targets, the single kernel SVM algorithm might lose its robustness. Therefore, this paper applies multiple kernel learning (MKL) to ISAR ship target recognition. The process begins with the preprocessing of the ISAR images to suppress Gaussian white noise. Then, principal component analysis (PCA) is employed to extract features from the ISAR images. Finally, the Simple-MKL method is used to recognize the samples. Experiments based on simulation data indicate that the method used in this paper improves the accuracy compared to other single-kernel SVM algorithms with different kernel functions.

关键词： Inverse Synthetic Aperture Radar (ISAR)

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Research on Radar Active Deception Jamming Identification Method Based on RESNET and Bispectrum Features 2

Research on Radar Active Deception Jamming Identification Me...

引用

2nd International Conference on Computer Engineering and Application, ICCEA 2021

作者： Wang, Kunteng Dong, Zeyu Wan, Tao Jiang, Kaili Xiong, Wanan Fang, Xueli University of Electronic Science Technology of China School of Electronic Science and Engineering Chengdu China University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu China Key Laboratory of Complex Aviation Simulation System Beijing China

ISBN: (纸本)9781665426169

In the complex electromagnetic environment of modern electronic warfare, active deception jamming poses a serious threat to radar. This paper proposes the identification of active deception jamming based on residual neural network (RESNET), and studies the bispectral characteristics of the signal and the method of identifying the active deception jamming of RESNET. This algorithm firstly extracts the bispectral features of the jamming signal, and uses the bispectral diagonal slice as the input of RSNET to realize the recognition of active deception jamming. simulation results show that the algorithm has high recognition accuracy, not only has good anti-noise performance, but also has excellent robustness under low JSR. © 2021 IEEE.

关键词： Radar

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Operational Effectiveness Evaluation of Space-based Information system based on Improved AHP-BPNN Model 5

Operational Effectiveness Evaluation of Space-based Informat...

引用

5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

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

ISBN: (纸本)9781665415989

In view of the characteristics of complex influencing factors and coupling interaction of various combat capabilities in the effectiveness evaluation of space- based information system (SIS), the effectiveness evaluation method of SIS based on improved AHP-BP neural network was proposed, which was mapped to multi-attribute decision making problem. The weight of experts was determined from the objective perspective to improve the traditional AHP and calculate the relevant influencing factors among experts. The comprehensive evaluation value is obtained according to the evaluation matrix, and the comprehensive weight of the index is obtained by the weighted average of the expert weight and the index weight. The evaluation data obtained from improved AHP and combat simulation data are used as prior samples to train BPNN to obtain the effectiveness evaluation model. Finally, sample data were obtained through MATLAB and STK co-simulation to evaluate the operational effectiveness of SIS and verify the effectiveness of the model. © 2021 IEEE.

关键词： MATLAB

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Effectiveness Evaluation of Space-based Information system based on Improved SVR 5

Effectiveness Evaluation of Space-based Information System b...

引用

5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

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

ISBN: (纸本)9781665415989

The evaluation of effectiveness of space-based information system (SIS) is of great significance for modern warfare in integrated operations. In view of characteristics of complex impact factors, small number of samples and strong nonlinearity of effectiveness evaluation, support vector regression (SVR) is adopted to evaluate effectiveness. At the same time, cuckoo search optimizer (CSO) is introduced to optimize the three parameters of SVR. The simulation results indicate that improved SVR has higher accuracy than the traditional SVR and BP neural network, and can effectively evaluate the effectiveness of SIS. © 2021 IEEE.

关键词： Vector spaces

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Effectiveness Evaluation of Communication Network based on BP neural network 5

Effectiveness Evaluation of Communication Network based on B...

引用

5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

ISBN: (纸本)9781665415989

In order to solve the problem of effectiveness evaluation of military communication network (MCN) under complex application conditions, an intelligent evaluation method based on BP neural network is proposed. Based on the establishment of hierarchical evaluation index system, a neural network model is used to describe the mapping relationship between the index value and the overall effectiveness, and samples are extracted from experts' experience to train the neural network, so as to realize the intelligent evaluation and calculation of MCN's effectiveness. The simulation results show that this method has high accuracy, simplicity and can meet the requirements of MCN effectiveness evaluation under various military application conditions. © 2021 IEEE.

关键词： Neural networks

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A FAST ERROR PHASE CORRECTION ALGORITHM FOR IMAGING RADAR BASED ON DOMINANT SCATTERERS

A FAST ERROR PHASE CORRECTION ALGORITHM FOR IMAGING RADAR BA...

引用

IET International Radar Conference 2023, IRC 2023

作者： Pang, Bo Dai, Dahai Xing, Shiqi Li, Yongzhen State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense Technology Deya Road No.109 Changsha China College of Electronic Science and Technology National University of Defense Technology Deya Road No.109 Changsha China

ISBN: (纸本)9781839539954

Due to the influence of platform movement trajectory deviation, electromagnetic wave propagation path error and other factors, imaging radar echo data will inevitably contain error phase, causing defocus of imaging results. To solve this problem, this paper proposes a fast phase error correction algorithm for imaging radar based on dominant scatterers. By fully considering the spatial variability of the error phase and solving the problem through operations such as dominant scatterers optimization and azimuth error phases combination. This algorithm ensures the accuracy of error phase estimation while greatly improves the efficiency of the algorithm. Experimental results based on simulation data and measured data demonstrate the effectiveness of the proposed algorithm. © The Institution of Engineering & technology 2023.

关键词： CORRECTION DOMINANT SCATTERERS ERROR PHASE IMAGING RADAR

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Operational Effectiveness Evaluation of Reconnaissance Satellite system based on system Dynamics Model 2

Operational Effectiveness Evaluation of Reconnaissance Satel...

引用

2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

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

ISBN: (纸本)9781665428767

In order to study changes in the effectiveness of reconnaissance satellite system (RSS) in supporting maritime operations, based on the key factors of dynamic confrontation system of the offensive and defensive parties, the feedback relationships between variables are analyzed. According to the feedback relationship, a system dynamics (SD) model based on Lanchester equation was established and simulated on the VENSIM platform to compare and analyze operational effectiveness of different RSS allocation schemes. simulation analysis shows that RSS can increase the rate of detection and acquisition of information and accelerate the loss of the enemy. At the same time, when the sensor parameters are similar, increasing the number of weapons can significantly reduce the loss, which provides a certain theoretical support for decision-making analysis in combat. © 2021 IEEE.

关键词： Feedback

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Data-driven Operational Effectiveness Evaluation of Space-based Information system 5

Data-driven Operational Effectiveness Evaluation of Space-ba...

引用

5th IEEE Information technology, Networking, electronic and Automation Control Conference, ITNEC 2021

ISBN: (纸本)9781665415989

Aiming at the complexity of space-based information system (SIS) effectiveness evaluation and the coupling and interaction of various combat capabilities, a data-driven operational effectiveness evaluation model is proposed. By introducing the PSO-BPNN to fit the performance evaluation I/O data, design the mapping relationship between the neural network input layer, hidden layer, output layer and hierarchical index system. On this basis, the affiliation relationship among the indicators at each level and the association relationship between the indicators are excavated, and the SIS effectiveness evaluation model is constructed. Taking the maritime integrated joint operations supported by space-based information as an example, the effectiveness data is obtained by using MATLAB, VENSIM and STK co-simulation. By quantitatively analyzing the coupling interaction between indexes, the operational effectiveness of SIS was evaluated, and the accuracy of the model and the feasibility of the evaluation method were verified. © 2021 IEEE.

关键词： MATLAB

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A GNSS Spoofing Detection Method based on Sparse Decomposition Technique

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

引用

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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