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Measurement-driven Gauss-Hermite particle filter with soft spatiotemporal constraints for multi-optical theodolites target tracking

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Chinese Journal of Aeronautics 2023年第8期36卷 313-330页

作者： Hongwei ZHANG Pengfei LI School of Aeronautics and Astronautics Sun Yat-sen UniversityShenzhen 518071China army academy of artillery and air defense zhengzhou campus Zhengzhou 450007China

Multi-Optical Theodolite Tracking systems(MOTTs)can stealthily extract the target’s status information from bearings only through non-contact *** constrained MOTTs are partially compatible,yet many existing research works and results are based on the known model,ignoring its discrimination with the target maneuvering behavior *** compensate for these mismatches,this paper develops a Measurement-driven Gauss-Hermite Particle Filter(MGHPF),which elegantly fuses the spatiotemporal constraints and its soft form to perform MOTT ***,the target dynamic model and tracking algorithm are based on the target behavior pattern with the adaptive turn rate,fully exploiting the spatial epipolar geometry characteristics for each intersection measurement by a minimax ***,the center of the feasible area is approximated via the analytic coordinate transformation,and the latent samples are updated via the deterministic Gauss-Hermite integral method with the target’s predictive turn ***,the effects of truncation correction and compensation feedback from the current measurement and historical estimation data are adaptively incorporated into the PF’s importance distribution to cover the mixture ***,an effective causality-invariant updating rule is provided to estimate the parameters of these soft spatiotemporal constrained MOTTs with convergence *** and measured results show good agreement;compared with the stateof-the-art Multi-Model Rao-Blackwell Particle Filter(MMRBPF),the proposed MGHPF improves the filtering accuracy by 7.4%-34.7%and significantly reduces the computational load.

关键词： Causality-invariant Measurement-drivenGauss-HermiteParticleFilter(MGHPF) Multi-optical theodolite tracking system Soft spatiotemporal con-straints Targetmaneuvering behavior

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Optimization of Charging/Battery-Swap Station Location of Electric Vehicles with an Improved Genetic Algorithm-Based Model

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Computer Modeling in Engineering & Sciences 2023年第2期134卷 1177-1194页

作者： Bida Zhang Qiang Yan Hairui Zhang Lin Zhang Beijing University of Posts and Telecommunications Beijing100876China PLA army academy of artillery and air defense Zhengzhou450000China Beijing Information Science and Technology University Beijing100192China

The joint location planning of charging/battery-swap facilities for electric vehicles is a complex *** the differences between these two modes of power replenishment,we constructed a joint location-planning model to minimize construction and operation costs,user costs,and user satisfaction-related penalty *** designed an improved genetic algorithm that changes the crossover rate using the fitness value,memorizes,and transfers excellent *** addition,the present model addresses the problem of“premature convergence”in conventional genetic algorithms.A simulated example revealed that our proposed model could provide a basis for optimized location planning of charging/battery-swapping facilities at different levels under different charging modes with an improved computing *** example also proved that meeting more demand for power supply of electric vehicles does not necessarily mean increasing the sites of charging/battery-swap ***,optimizing the level and location planning of charging/battery-swap stations can maximize the investment *** proposed model can provide a reference for the government and enterprises to better plan the location of charging/battery-swap ***,it is of both theoretical and practical value.

关键词： Charging/battery-swapping facility genetic algorithm location planning excellent gene cluster

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Future Changes in the Impact of North Pacific Midlatitude Oceanic Frontal Intensity on the Wintertime Storm Track in CMIP5 Models

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Journal of Meteorological Research 2020年第6期34卷 1199-1213页

作者： Yao YAO Zhong ZHONG Xiu-Qun YANG Xiaogang HUANG College of Meteorology and Oceanography National University of Defense TechnologyChangsha 410073 Jiangsu Collaborative Innovation Center for Climate Change School of Atmospheric SciencesNanjing UniversityNanjing 210023 army academy of artillery and air defense(Nanjing campus) Nanjing 211132

The storm track and oceanic front play an important role in the midlatitude air–sea *** this study,future changes in the impact of the North Pacific midlatitude oceanic frontal intensity on the wintertime storm track are projected based on climate model outputs from the Coupled Model Intercomparison Project Phase 5(CMIP5).The performance of 13 CMIP5 models is evaluated,and it is found that a majority of these models are capable of reproducing the northward intensification of the storm track in response to the strengthened oceanic *** ensemble means of outputs from six best models under three Representative Concentration Pathway(RCP)scenarios(RCP2.6,RCP4.5,and RCP8.5)are compared with the results of the historical simulation,and future changes are *** is found that the impact of the oceanic frontal intensity on the storm track tends to get stronger and extends further westward in a warming climate,and the largest increase appears in the RCP8.5 *** analysis reveals that the stronger impact of the oceanic front on the storm track in the future may be partially attributed to the greater oceanic frontal impact on the near-surface baroclinicity,which is mainly related to the intensified oceanic frontal impact on the meridional potential temperature gradient under the climate change ***,this process can hardly explain the increasing impact of the oceanic front on the upstream of the storm track.

关键词： storm track midlatitude oceanic front climate change Coupled Model Intercomparison Project Phase 5(CMIP5)

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Uncertainty entropy-based exploratory evaluation method and its applications on missile effectiveness evaluation

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Journal of Systems Engineering and Electronics 2023年第6期34卷 1602-1613页

作者： HU Jianwen WANG Zhihui GAO Yuan ZHU Xiaomin TIAN Yongliang LIU Hu Consulting Center for Strategic Assessment Academy of Military ScienceBeijing 100097China army academy of artillery and air defense(Nanjing campus) Nanjing 211132China School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China College of Systems Engineering National University of Defense TechnologyChangsha 410072China

Some attributes are uncertain for evaluation work because of incomplete or limited information and *** leads to uncertainty in evaluation *** that end,an evaluation method,uncertainty entropy-based exploratory evaluation(UEEE),is proposed to guide the evaluation activities,which can iteratively and gradually reduce uncertainty in evaluation *** entropy(UE)is proposed to measure the extent of ***,the belief degree distributions are assumed to characterize the uncertainty in *** the belief degree distribution of the evaluation result can be calculated by using uncertainty *** obtained result is then checked based on UE to see if it could meet the requirements of *** its uncertainty level is high,more information needs to be introduced to reduce *** algorithm based on the UE is proposed to find which attribute can mostly affect the uncertainty in ***,efforts can be invested in key attribute(s),and the evaluation results can be updated *** update should be repeated until the evaluation result meets the ***,as a case study,the effectiveness of ballistic missiles with uncertain attributes is evaluated by *** evaluation results show that the target is believed to be destroyed.

关键词： uncertainty entropy-based exploratory evaluation(UEEE) evaluation activity belief degree distribution missile effectiveness.

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