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系统工程与电子技术（英文版）
系统工程与电子技术（英文版）

施荣

双月刊

1004-4132

tougaoxinxiang@263.net

010-68388406

100854

北京142信箱32分箱

系统工程与电子技术（英文版）/Journal Journal of Systems Engineering and ElectronicsCSCDCSTPCD北大核心EISCI
查看更多>>本刊是《中国科学引文数据库》来源期刊，被美国科学引文索引（SCIE）、美国工程索引（EI）和英国科学文摘（SA）等多家国内、外著名检索系统收录。它是面向高科技开发和应用的跨学科期刊，以传播新技术、促进学术交流为宗旨，坚持深度与广度、理论与应用相结合的方针，努力反映系统工程与电子技术两大领域的最新成就，报道的主要内容包括：系统科学、军事系统分析、飞行器控制、雷达、光电探测技术、信息获取与处理、运筹学管理与决策技术等。
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    Fault diagnosis method of link control system for gravitational wave detection

    GAO AiXU ShengnanZHAO ZichenSHANG Haibin...
    922-931页
    查看更多>>摘要：To maintain the stability of the inter-satellite link for gravitational wave detection,an intelligent learning monitoring and fast warning method of the inter-satellite link control system failure is proposed.Different from the traditional fault diagnosis optimization algorithms,the fault intelligent learning method pro-posed in this paper is able to quickly identify the faults of inter-satellite link control system despite the existence of strong cou-pling nonlinearity.By constructing a two-layer learning network,the method enables efficient joint diagnosis of fault areas and fault parameters.The simulation results show that the average identification time of the system fault area and fault parameters is 0.27 s,and the fault diagnosis efficiency is improved by 99.8％compared with the traditional algorithm.
      原文链接:
    • 万方数据
    • 维普

    Resilience-driven cooperative reconfiguration strategy for unmanned weapon system-of-systems

    SUN QinLI HongxuZENG YifanZHANG Yingchao...
    932-944页
    查看更多>>摘要：As the unmanned weap system-of systems(UWSoS)becomes complex,the inevitable uncertain interference gradu-ally increases,which leads to a strong emphasis on the resilience of UWSoS.Hence,this paper presents a resilience-driven cooperative reconfiguration strategy to enhance the resilience of UWSoS.First,a unified resilience-driven coopera-tive reconfiguration strategy framework is designed to guide the UWSoS resilience enhancement.Subsequently,a cooperative reconfiguration strategy algorithm is proposed to identify the optimal cooperative reconfiguration sequence,combining the cooperative pair resilience contribution index(CPRCI)and coop-erative pair importance index(CPII).At last,the effectiveness and superiority of the proposed algorithm are demonstrated through various attack scenario simulations that include differ-ent attack modes and intensities.The analysis results can pro-vide a reference for decision-makers to manage UWSoS.
      原文链接:
    • 万方数据
    • 维普

    A function-based behavioral modeling method for air combat simulation

    WANG TaoZHU ZhiZHOU XinJING Tian...
    945-954页
    查看更多>>摘要：Today's air combat has reached a high level of uncer-tainty where continuous or discrete variables with crisp values cannot be properly represented using fuzzy sets.With a set of membership functions,fuzzy logic is well-suited to tackle such complex states and actions.However,it is not necessary to fuzzify the variables that have definite discrete semantics.Hence,the aim of this study is to improve the level of model abstraction by proposing multiple levels of cascaded hierarchi-cal structures from the perspective of function,namely,the func-tional decision tree.This method is developed to represent behavioral modeling of air combat systems,and its metamodel,execution mechanism,and code generation can provide a sound basis for function-based behavioral modeling.As a proof of con-cept,an air combat simulation is developed to validate this method and the results show that the fighter Alpha built using the proposed framework provides better performance than that using default scripts.
      原文链接:
    • 万方数据
    • 维普

    Heterogeneous information fusion recognition method based on belief rule structure

    WANG HaibinGUAN XinYI XiaoSUN Guidong...
    955-964页
    查看更多>>摘要：To solve the problem that the existing situation awareness research focuses on multi-sensor data fusion,but the expert knowledge is not fully utilized,a heterogeneous informa-tion fusion recognition method based on belief rule structure is proposed.By defining the continuous probabilistic hesitation fuzzy linguistic term sets(CPHFLTS)and establishing CPHFLTS distance measure,the belief rule base of the relationship between feature space and category space is constructed through information integration,and the evidence reasoning of the input samples is carried out.The experimental results show that the proposed method can make full use of sensor data and expert knowledge for recognition.Compared with the other methods,the proposed method has a higher correct recognition rate under different noise levels.
      原文链接:
    • 万方数据
    • 维普

    PHUI-GA:GPU-based efficiency evolutionary algorithm for mining high utility itemsets

    JIANG HaipengWU GuoqingSUN MengdanLI Feng...
    965-975页
    查看更多>>摘要：Evolutionary algorithms(EAs)have been used in high utility itemset mining(HUIM)to address the problem of discover-ing high utility itemsets(HUIs)in the exponential search space.EAs have good running and mining performance,but they still require huge computational resource and may miss many HUIs.Due to the good combination of EA and graphics processing unit(GPU),we propose a parallel genetic algorithm(GA)based on the platform of GPU for mining HUIM(PHUI-GA).The evolution steps with improvements are performed in central processing unit(CPU)and the CPU intensive steps are sent to GPU to eva-luate with multi-threaded processors.Experiments show that the mining performance of PHUI-GA outperforms the existing EAs.When mining 90％HUIs,the PHUI-GA is up to 188 times better than the existing EAs and up to 36 times better than the CPU parallel approach.
      原文链接:
    • 万方数据

    Survivability model of LEO satellite constellation based on GERT with limited backup resources

    NIE YuanyuanFANG ZhigengLIU SifengGAO Su...
    976-986页
    查看更多>>摘要：Survivability is used to evaluate the ability of the satellite to complete the mission after failure,while the duration of maintaining performance is often ignored.An effective backup strategy can restore the constellation performance timely,and maintain good network communication performance in case of satellite failure.From the perspective of network utility,the low Earth orbit(LEO)satellite constellation survivable graphical eva-luation and review technology(GERT)network with backup satel-lites is constructed.A network utility transfer function algorithm based on moment generating function and Mason formula is proposed,the network survivability evaluation models of on-orbit backup strategy and ground backup strategy are established.The survivable GERT model can deduce the expected mainte-nance time of LEO satellite constellation under different fault states and the network utility generated during the state mainte-nance period.The case analysis shows that the proposed surviv-able GERT model can consider the satellite failure rate,backup satellite replacement rate,maneuver control replacement ability and life requirement,and effectively determine the optimal sur-vivable backup strategy for LEO satellite constellation with limi-ted resources according to the expected network utility.
      原文链接:
    • 万方数据
    • 维普

    Method of improving pedestrian navigation performance based on chest card

    CHENG HaoGAO ShuangCAI XiaowenWANG Yuxuan...
    987-998页
    查看更多>>摘要：With the development of positioning technology,loca-tion services are constantly in demand by people.As a primary location service pedestrian navigation has two main approaches based on radio and inertial navigation.The pedestrian naviga-tion based on radio is subject to environmental occlusion lead-ing to the degradation of positioning accuracy.The pedestrian navigation based on micro-electro-mechanical system inertial measurement unit(MIMU)is less susceptible to environmental interference,but its errors dissipate over time.In this paper,a chest card pedestrian navigation improvement method based on complementary correction is proposed in order to suppress the error divergence of inertial navigation methods.To suppress atti-tude errors,optimal feedback coefficients are established by pedestrian motion characteristics.To extend navigation time and improve positioning accuracy,the step length in subsequent movements is compensated by the first step length.The experi-mental results show that the positioning accuracy of the pro-posed method is improved by more than 47％and 44％com-pared with the pure inertia-based method combined with step compensation and the traditional complementary filtering com-bined method with step compensation.The proposed method can effectively suppress the error dispersion and improve the positioning accuracy.
      原文链接:
    • 万方数据
    • 维普

    Modified filter for mean elements estimation with state jumping

    YU YanjunYUE ChengfeiLI HuayiWU Yunhua...
    999-1012页
    查看更多>>摘要：To investigate the real-time mean orbital elements(MOEs)estimation problem under the influence of state jumping caused by non-fatal spacecraft collision or protective orbit trans-fer,a modified augmented square-root unscented Kalman filter(MASUKF)is proposed.The MASUKF is composed of sigma points calculation,time update,modified state jumping detec-tion,and measurement update.Compared with the filters used in the existing literature on MOEs estimation,it has three main characteristics.Firstly,the state vector is augmented from six to nine by the added thrust acceleration terms,which makes the fil-ter additionally give the state-jumping-thrust-acceleration esti-mation.Secondly,the normalized innovation is used for state jumping detection to set detection threshold concisely and make the filter detect various state jumping with low latency.Thirdly,when sate jumping is detected,the covariance matrix inflation will be done,and then an extra time update process will be con-ducted at this time instance before measurement update.In this way,the relatively large estimation error at the detection moment can significantly decrease.Finally,typical simulations are per-formed to illustrated the effectiveness of the method.
      原文链接:
    • 万方数据
    • 维普

    Cloud control for IIoT in a cloud-edge environment

    YAN CeXIA YuanqingYANG HongjiuZHAN Yufeng...
    1013-1027页
    查看更多>>摘要：The industrial Internet of Things(IIoT)is a new indus-trial idea that combines the latest information and communica-tion technologies with the industrial economy.In this paper,a cloud control structure is designed for IIoT in cloud-edge envi-ronment with three modes of 5G.For 5G based IIoT,the time sensitive network(TSN)service is introduced in transmission network.A 5G logical TSN bridge is designed to transport TSN streams over 5G framework to achieve end-to-end configuration.For a transmission control protocol(TCP)model with nonlinear disturbance,time delay and uncertainties,a robust adaptive fuzzy sliding mode controller(AFSMC)is given with control rule parameters.IIoT workflows are made up of a series of subtasks that are linked by the dependencies between sensor datasets and task flows.IIoT workflow scheduling is a non-deterministic polynomial(NP)-hard problem in cloud-edge environment.An adaptive and non-local-convergent particle swarm optimization(ANCPSO)is designed with nonlinear inertia weight to avoid falling into local optimum,which can reduce the makespan and cost dramatically.Simulation and experiments demonstrate that ANCPSO has better performances than other classical algo-rithms.
      原文链接:
    • 万方数据
    • 维普

    System error iterative identification for underwater positioning based on spectral clustering

    LU YuWANG JiongqiHE ZhangmingZHOU Haiyin...
    1028-1041页
    查看更多>>摘要：The observation error model of the underwater acous-tic positioning system is an important factor to influence the positioning accuracy of the underwater target.For the position inconsistency error caused by considering the underwater tar-get as a mass point,as well as the observation system error,the traditional error model best estimation trajectory(EMBET)with little observed data and too many parameters can lead to the ill-condition of the parameter model.In this paper,a multi-station fusion system error model based on the optimal polynomial con-straint is constructed,and the corresponding observation sys-tem error identification based on improved spectral clustering is designed.Firstly,the reduced parameter unified modeling for the underwater target position parameters and the system error is achieved through the polynomial optimization.Then a multi-sta-tion non-oriented graph network is established,which can address the problem of the inaccurate identification for the sys-tem errors.Moreover,the similarity matrix of the spectral cluster-ing is improved,and the iterative identification for the system errors based on the improved spectral clustering is proposed.Finally,the comprehensive measured data of long baseline lake test and sea test show that the proposed method can accu-rately identify the system errors,and moreover can improve the positioning accuracy for the underwater target positioning.
      原文链接:
    • 万方数据
    • 维普