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Evaluation method and optimization strategies of resilience for air&space defense system of systems based on kill network theory and improved self-information quantity 被引量:6
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作者 Qi Han Bo Pang +4 位作者 Sen Li Ning Li Peng-song Guo Cheng-li Fan Wei-min Li 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2023年第3期219-239,共21页
Resilience of air&space defense system of systems(SoSs)is critical to national air defense security.However,the research on it is still scarce.In this study,the resilience of air&space defense SoSs is firstly ... Resilience of air&space defense system of systems(SoSs)is critical to national air defense security.However,the research on it is still scarce.In this study,the resilience of air&space defense SoSs is firstly defined and the kill network theory is established by combining super network and kill chain theory.Two cases of the SoSs are considered:(a)The kill chains are relatively homogenous;(b)The kill chains are relatively heterogenous.Meanwhile,two capability assessment methods,which are based on the number of kill chains and improved self-information quantity,respectively,are proposed.The improved self-information quantity modeled based on nodes and edges can achieve qualitative and quantitative assessment of the combat capability by using linguistic Pythagorean fuzzy sets.Then,a resilient evaluation index consisting of risk response,survivability,and quick recovery is proposed accordingly.Finally,network models for regional air defense and anti-missile SoSs are established respectively,and the resilience measurement results are verified and analyzed under different attack and recovery strategies,and the optimization strategies are also proposed.The proposed theory and method can meet different demands to evaluate combat capability and optimize resilience of various types of air&space defense and similar SoSs. 展开更多
关键词 network optimization THEORY
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An anti-main-lobe jamming algorithm for airborne early warning radar based on APC-SVRGD joint optimization 被引量:1
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作者 PENG Fang WU Jun +2 位作者 WANG Shuai LI Zhijun XIANG Jianjun 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2022年第1期134-143,共10页
Main lobe jamming seriously affects the detection performance of airborne early warning radar.The joint processing of polarization-space has become an effective way to suppress the main lobe jamming.To avoid the main ... Main lobe jamming seriously affects the detection performance of airborne early warning radar.The joint processing of polarization-space has become an effective way to suppress the main lobe jamming.To avoid the main beam distortion and wave crest migration caused by the main lobe jamming in adaptive beamforming,a joint optimization algorithm based on adaptive polarization canceller(APC)and stochastic variance reduction gradient descent(SVRGD)is proposed.First,the polarization plane array structure and receiving signal model based on primary and auxiliary array cancellation are established,and an APC iterative algorithm model is constructed to calculate the optimal weight vector of the auxiliary channel.Second,based on the stochastic gradient descent principle,the variance reduction method is introduced to modify the gradient through internal and external iteration to reduce the variance of the stochastic gradient estimation,the airspace optimal weight vector is calculated and the equivalent weight vector is introduced to measure the beamforming effect.Third,by setting up a planar polarization array simulation scene,the performance of the algorithm against the interference of the main lobe and the side lobe is analyzed,and the effectiveness of the algorithm is verified under the condition of short snapshot number and certain signal to interference plus noise ratio. 展开更多
关键词 airborne early warning radar adaptive beamforming main-lobe interference suppression adaptive polarization canceller(APC) stochastic variance reduction gradient descent(SVRGD)
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Application of formal safety assessment in planning VTS
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作者 Tang, Xuhong Fan, Yaotian Cai, Cunqiang 《Journal of Southeast University(English Edition)》 EI CAS 2008年第S1期99-103,共5页
To ensure that limited resources are allocated more effectively to reduce marine risks, formal safety assessment (FSA), a proactive method, is introduced in planning a vessel traffic system (VTS). Based on the data of... To ensure that limited resources are allocated more effectively to reduce marine risks, formal safety assessment (FSA), a proactive method, is introduced in planning a vessel traffic system (VTS). Based on the data of Wuhan port, some new solutions based on risk-indices are put forward. The weighted number of traffic accidents is predicted after the future weighted vessel traffic volume is estimated by analyzing the trend of trade development. To analyze risk acceptability, the as-low-as-reasonably-practicable (ALARP) matrix is transformed into a new model containing two parameters: the future weighted vessel traffic volume and the future weighted number of traffic accidents. The new risk control options (RCOs)can be identified by a revised Domino model with several feedback loops from all system levels to close a limited window of accident opportunity. The results indicate that the four most beneficial RCOs are a wider sub-area 1 channel, a VTS bridges area, a dredging sub-area 2 main route, and a VTS QSX anchorage to the 3rd bridge. The FSA is a method that is effective in evaluating the rationality, necessity and cost-effectiveness of VTS projects. 展开更多
关键词 vessel traffic system (VTS) formal safety assessment (FSA) RISK as low as reasonably practicable (ALARP)
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ISS-based robust adaptive fuzzy algorithm for maintaining a ship's track
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作者 LI Tie-shan YAN Shu-jia QIAO Wen-ming 《Journal of Marine Science and Application》 2007年第4期1-7,共7页
This paper focuses on the problem of linear track keeping for marine surface vessels. The influence exerted by sea currents on the kinematic equation of ships is considered first. The input-to-state stability(ISS) the... This paper focuses on the problem of linear track keeping for marine surface vessels. The influence exerted by sea currents on the kinematic equation of ships is considered first. The input-to-state stability(ISS) theory used to verify the system is input-to-state stable. Combining the Nussbaum gain with backstepping techniques,a robust adaptive fuzzy algorithm is presented by employing fuzzy systems as an approximator for unknown nonlinearities in the system. It is proved that the proposed algorithm that guarantees all signals in the closed-loop system are ultimately bounded. Consequently,a ship's linear track-keeping control can be implemented. Simulation results using Dalian Maritime University's ocean-going training ship 'YULONG' are presented to validate the effectiveness of the proposed algorithm. 展开更多
关键词 ISS theory adaptive control fuzzy system ship track-keeping
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A robust joint frequency spectrum and power allocation strategy in a coexisting radar and communication system
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作者 Haowei ZHANG Weijian LIU +1 位作者 Qun ZHANG Taiyong FEI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2024年第10期393-409,共17页
The resource allocation technique is of great significance in achieving frequency spectrum coexistence in Joint Radar-Communication(JRC) systems, by which the problem of radio frequency spectrum congestion can be well... The resource allocation technique is of great significance in achieving frequency spectrum coexistence in Joint Radar-Communication(JRC) systems, by which the problem of radio frequency spectrum congestion can be well alleviated. A Robust Joint Frequency Spectrum and Power Allocation(RJFSPA) strategy is proposed for the Coexisting Radar and Communication(CRC)system. Specifically, we consider the uncertainty of target Radar Cross Section(RCS) and communication channel gain to formulate a bi-objective optimization model. The joint probabilities that the Cramér-Rao Lower Bound(CRLB) of each target satisfying the localization accuracy threshold and the Communication Data Ratio(CDR) of each user satisfying the communication threshold are simultaneously maximized, under the constraint of the total power budget. A Three-Stage Alternating Optimization Method(TSAOM) is proposed to obtain the Best-Known Pareto Subset(BKPS) of this problem, where the frequency spectrum, radar power, and communicator power are allocated using the greedy search and standard convex optimization methods, respectively. Simulation results confirm the effectiveness of the proposed RJFSPA strategy, compared with the resource allocation methods in a uniform manner and that ignores the uncertainties. The efficiency of the TSAOM is also verified by the comparison with the exhaustive search-based method. 展开更多
关键词 Radar and communication system Bi-objective optimization Resource allocation Cramér-Rao lower bound Communication data ratio
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Cooperative Decision-Making for Multiple UAVs Autonomous Confrontation
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作者 Han Wang Xiaolong Liang +4 位作者 Jiaqiang Zhang Aiwu Yang Yueqi Hou Ning Wang Aoyu Zheng 《Guidance, Navigation and Control》 2024年第1期176-199,共24页
This paper presents a rule-based framework for addressing decision-making problems within the context of the\UI-STRIVE"Competition.First,two distinct autonomous confrontation scenarios are described:autonomous ai... This paper presents a rule-based framework for addressing decision-making problems within the context of the\UI-STRIVE"Competition.First,two distinct autonomous confrontation scenarios are described:autonomous air combat and cooperative interception.Second,a State-Event-Condition-Action(SECA)decision-making framework is developed,which integrates thefinite state machine and event-condition-action frameworks.This framework provides three products to describe rules,i.e.the SECA model,the SECA state chart,and the SECA rule description.Third,the situation assessment and target assignment during autonomous air combat are investigated,and the mathematical models are established.Finally,the decisionmaking model's rationality and feasibility are verified through data simulation and analysis. 展开更多
关键词 Rule-based decision-making air combat multiple UAVs autonomous confrontation
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