Journal of Systems Engineering and Electronics最新文献_第6页

Robust Adaptive Radar Beamforming Based on Iterative Training Sample Selection Using Kurtosis of Generalized Inner Product Statistics 基于使用广义内积统计峰度的迭代训练样本选择的鲁棒自适应雷达波束成形

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-03-12 DOI: 10.23919/jsee.2024.000025

Jing Tian, Wei Zhang

引用次数: 0

Complex Adaptive System Theory, Agent-Based Modeling, and Simulation in Dominant Technology Formation 复杂自适应系统理论、基于代理的建模和主导技术形成中的模拟

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-03-12 DOI: 10.23919/jsee.2023.000160

Ruihan Zhang, Bing Sun

{"title":"Complex Adaptive System Theory, Agent-Based Modeling, and Simulation in Dominant Technology Formation","authors":"Ruihan Zhang, Bing Sun","doi":"10.23919/jsee.2023.000160","DOIUrl":"https://doi.org/10.23919/jsee.2023.000160","url":null,"abstract":"Dominant technology formation is the key for the high-tech industry to “cross the chasm” and gain an established foothold in the market (and hence disrupt the regime). Therefore, a stimulus-response model is proposed to investigate the dominant technology by exploring its formation process and mechanism. Specifically, based on complex adaptive system theory and the basic stimulus-response model, we use a combination of agent-based modeling and system dynamics modeling to capture the interactions between dominant technology and the socio-technical landscape. The results indicate the following: (i) The dynamic interaction is “stimulus-reaction-selection”, which promotes the dominant technology's formation. (ii) The dominant technology's formation can be described as a dynamic process in which the adaptation intensity of technology standards increases continuously until it becomes the leading technology under the dual action of internal and external mechanisms. (iii) The dominant technology's formation in the high-tech industry is influenced by learning ability, the number of adopting users and adaptability. Therein, a “critical scale” of learning ability exists to promote the formation of leading technology: a large number of adopting users can promote the dominant technology's formation by influencing the adaptive response of technology standards to the socio-technical landscape and the choice of technology standards by the socio-technical landscape. There is a minimum threshold and a maximum threshold for the role of adaptability in the dominant technology's formation. (iv) The socio-technical landscape can promote the leading technology's shaping in the high-tech industry, and different elements have different effects. This study promotes research on the formation mechanism of dominant technology in the high-tech industry, presents new perspectives and methods for researchers, and provides essential enlightenment for managers to formulate technology strategies.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"23 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140154725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

DOA Estimation of High-Dimensional Signals Based on Krylov Subspace and Weighted $l_{1}$-Norm 基于克雷洛夫子空间和加权 l_{1}$ 准则的高维信号 DOA 估计

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-02-12 DOI: 10.23919/jsee.2023.000145

Zeqi Yang, Yiheng Liu, Hua Zhang, Shuai Ma, Kai Chang, Ning Liu, Xiaode Lyu

{"title":"DOA Estimation of High-Dimensional Signals Based on Krylov Subspace and Weighted $l_{1}$-Norm","authors":"Zeqi Yang, Yiheng Liu, Hua Zhang, Shuai Ma, Kai Chang, Ning Liu, Xiaode Lyu","doi":"10.23919/jsee.2023.000145","DOIUrl":"https://doi.org/10.23919/jsee.2023.000145","url":null,"abstract":"With the extensive application of large-scale array antennas, the increasing number of array elements leads to the increasing dimension of received signals, making it difficult to meet the real-time requirement of direction of arrival (DOA) estimation due to the computational complexity of algorithms. Traditional subspace algorithms require estimation of the covariance matrix, which has high computational complexity and is prone to producing spurious peaks. In order to reduce the computational complexity of DOA estimation algorithms and improve their estimation accuracy under large array elements, this paper proposes a DOA estimation method based on Krylov subspace and weighted <tex xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{1}$</tex>\u0000-norm. The method uses the multistage Wiener filter (MSWF) iteration to solve the basis of the Krylov subspace as an estimate of the signal subspace, further uses the measurement matrix to reduce the dimensionality of the signal subspace observation, constructs a weighted matrix, and combines the sparse reconstruction to establish a convex optimization function based on the residual sum of squares and weighted <tex xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{1}$</tex>\u0000-norm to solve the target DOA. Simulation results show that the proposed method has high resolution under large array conditions, effectively suppresses spurious peaks, reduces computational complexity, and has good robustness for low signal to noise ratio (SNR) environment.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"22 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141547483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive Detection of Range-Spread Targets in Homogeneous and Partially Homogeneous Clutter Plus Subspace Interference 自适应探测同质和部分同质杂波加子空间干扰中的范围扩展目标

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-02-12 DOI: 10.23919/jsee.2023.000147

Tao Jian, Jia He, Bencai Wang, Yu Liu, Congan Xu, Zikeng Xie

引用次数: 0

Manipulator Tracking Technology Based on FSRUKF 基于 FSRUKF 的机械手跟踪技术

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-29 DOI: 10.23919/jsee.2024.000009

Guoqing Shi, Boyan Zhang, Jiandong Zhang, Qiming Yang, Xiaofeng Huang, Jianyao Que, Junwei Pu, Xiutang Geng

{"title":"Manipulator Tracking Technology Based on FSRUKF","authors":"Guoqing Shi, Boyan Zhang, Jiandong Zhang, Qiming Yang, Xiaofeng Huang, Jianyao Que, Junwei Pu, Xiutang Geng","doi":"10.23919/jsee.2024.000009","DOIUrl":"https://doi.org/10.23919/jsee.2024.000009","url":null,"abstract":"Aiming at the shortcoming that the traditional industrial manipulator using off-line programming cannot change along with the change of external environment, the key technologies such as machine vision and manipulator control are studied, and a complete manipulator vision tracking system is designed. Firstly, Denavit-Hartenberg (D-H) parameters method is used to construct the model of the manipulator and analyze the forward and inverse kinematics equations of the manipulator. At the same time, a binocular camera is used to obtain the three-dimensional position of the target. Secondly, in order to make the manipulator track the target more accurately, the fuzzy adaptive square root unscented Kalman filter (FSRUKF) is proposed to estimate the target state. Finally, the manipulator tracking system is built by using the position-based visual servo. The simulation experiments show that FSRUKF converges faster and with less error than the square root unscented Kalman filter (SRUKF), which meets the application requirements of the manipulator tracking system, and basically meets the application requirements of the manipulator tracking system in the practical experiments.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"30 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aerial Target Threat Assessment Based on Gated Recurrent Unit and Self-Attention Mechanism 基于门控循环单元和自我关注机制的空中目标威胁评估

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-24 DOI: 10.23919/jsee.2023.000116

Chen Chen, Wei Quan, Zhuang Shao

{"title":"Aerial Target Threat Assessment Based on Gated Recurrent Unit and Self-Attention Mechanism","authors":"Chen Chen, Wei Quan, Zhuang Shao","doi":"10.23919/jsee.2023.000116","DOIUrl":"https://doi.org/10.23919/jsee.2023.000116","url":null,"abstract":"Aerial threat assessment is a crucial link in modern air combat, whose result counts a great deal for commanders to make decisions. With the consideration that the existing threat assessment methods have difficulties in dealing with high dimensional time series target data, a threat assessment method based on self-attention mechanism and gated recurrent unit (SAGRU) is proposed. Firstly, a threat feature system including air combat situations and capability features is established. Moreover, a data augmentation process based on fractional Fourier transform (FRFT) is applied to extract more valuable information from time series situation features. Furthermore, aiming to capture key characteristics of battlefield evolution, a bidirectional GRU and SA mechanisms are designed for enhanced features. Subsequently, after the concatenation of the processed air combat situation and capability features, the target threat level will be predicted by fully connected neural layers and the softmax classifier. Finally, in order to validate this model, an air combat dataset generated by a combat simulation system is introduced for model training and testing. The comparison experiments show the proposed model has structural rationality and can perform threat assessment faster and more accurately than the other existing models based on deep learning.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"4 5 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Framework of Force of Information Influence and Application for C4KISR System C4KISR 系统的信息影响力与应用框架

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-24 DOI: 10.23919/jsee.2024.000011

Shaojie Mao, Lianwang Diao, Yu Sun, Heng Wang, Kan Yi, Xin Xu, Xiaobin Mao, Kecheng Zhang, Long Sheng

{"title":"A Framework of Force of Information Influence and Application for C4KISR System","authors":"Shaojie Mao, Lianwang Diao, Yu Sun, Heng Wang, Kan Yi, Xin Xu, Xiaobin Mao, Kecheng Zhang, Long Sheng","doi":"10.23919/jsee.2024.000011","DOIUrl":"https://doi.org/10.23919/jsee.2024.000011","url":null,"abstract":"The subversive nature of information war lies not only in the information itself, but also in the circulation and application of information. It has always been a challenge to quantitatively analyze the function and effect of information flow through command, control, communications, computer, kill, intelligence, surveillance, reconnaissance (C4KISR) system. In this work, we propose a framework of force of information influence and the methods for calculating the force of information influence between C4KISR nodes of sensing, intelligence processing, decision making and fire attack. Specifically, the basic concept of force of information influence between nodes in C4KISR system is formally proposed and its mathematical definition is provided. Then, based on the information entropy theory, the model of force of information influence between C4KISR system nodes is constructed. Finally, the simulation experiments have been performed under an air defense and attack scenario. The experimental results show that, with the proposed force of information influence framework, we can effectively evaluate the contribution of information circulation through different C4KISR system nodes to the corresponding tasks. Our framework of force of information influence can also serve as an effective tool for the design and dynamic reconfiguration of C4KISR system architecture.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"808 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time UAV Path Planning Based on LSTM Network 基于 LSTM 网络的无人机实时路径规划

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-24 DOI: 10.23919/jsee.2023.000157

Jiandong Zhang, Yukun Guo, Lihui Zheng, Qiming Yang, Guoqing Shi, Yong Wu

{"title":"Real-Time UAV Path Planning Based on LSTM Network","authors":"Jiandong Zhang, Yukun Guo, Lihui Zheng, Qiming Yang, Guoqing Shi, Yong Wu","doi":"10.23919/jsee.2023.000157","DOIUrl":"https://doi.org/10.23919/jsee.2023.000157","url":null,"abstract":"To address the shortcomings of single-step decision making in the existing deep reinforcement learning based unmanned aerial vehicle (UAV) real-time path planning problem, a real-time UAV path planning algorithm based on long short-term memory (RPP-LSTM) network is proposed, which combines the memory characteristics of recurrent neural network (RNN) and the deep reinforcement learning algorithm. LSTM networks are used in this algorithm as Q-value networks for the deep Q network (DQN) algorithm, which makes the decision of the Q-value network has some memory. Thanks to LSTM network, the Q-value network can use the previous environmental information and action information which effectively avoids the problem of single-step decision considering only the current environment. Besides, the algorithm proposes a hierarchical reward and punishment function for the specific problem of UAV real-time path planning, so that the UAV can more reasonably perform path planning. Simulation verification shows that compared with the traditional feed-forward neural network (FNN) based UAV autonomous path planning algorithm, the RPP-LSTM proposed in this paper can adapt to more complex environments and has significantly improved robustness and accuracy when performing UAV real-time path planning.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"18 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Short-Time Maritime Target Detection Based on Polarization Scattering Characteristics 基于极化散射特性的短时海上目标探测

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-24 DOI: 10.23919/jsee.2023.000148

Shichao Chen, Feng Luo, Min Tian, Wanghan Lyu

{"title":"Short-Time Maritime Target Detection Based on Polarization Scattering Characteristics","authors":"Shichao Chen, Feng Luo, Min Tian, Wanghan Lyu","doi":"10.23919/jsee.2023.000148","DOIUrl":"https://doi.org/10.23919/jsee.2023.000148","url":null,"abstract":"In this paper, a detection method combining Cameron decomposition based on polarization scattering characteristics in sea clutter background is proposed. Firstly, the Cameron decomposition is exploited to fuse the radar echoes of full polarization channels at the data level. Due to the artificial material structure on the surface of the target, it can be shown that the non-reciprocity of the target cell is stronger than that of the clutter cell. Then, based on the analysis of the decomposition results, a new feature with scattering geometry characteristics in polarization domain, denoted as Cameron polarization decomposition scattering weight (CPD-SW), is extracted as the test statistic, which can achieve more detailed descriptions of the clutter scattering characteristics utilizing the difference between their scattering types. Finally, the superiority of the proposed CPD-SW detector over traditional detectors in improving detection performance is verified by the IPIX measured dataset, which has strong stability under short-time observation in threshold detection and can also improve the separability of feature space zin anomaly detection.","PeriodicalId":50030,"journal":{"name":"Journal of Systems Engineering and Electronics","volume":"22 1","pages":""},"PeriodicalIF":2.1,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140154704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Persymmetric Adaptive Polarimetric Detection of Subspace Range-Spread Targets in Compound Gaussian Sea Clutter 复合高斯海杂波中子空间范围目标的不对称自适应极化探测

IF 2.1 3区计算机科学

Journal of Systems Engineering and Electronics Pub Date : 2024-01-24 DOI: 10.23919/jsee.2023.000133

Shuwen Xu, Yifan Hao, Zhuo Wang, Jian Xue

引用次数: 0