The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Zhao Chang-shou - One of the best experts on this subject based on the ideXlab platform.
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Research and Development of Embed Ballistic Trajectory Simulation System Based on Android Portable Apparatus
Computer Simulation, 2013Co-Authors: Zhao Chang-shouAbstract:Characteristics of embed portable apparatus Android operation system and its applications in military field were proposed.Key technical problems in development of Ballistic Trajectory calculation simulation system Android based were analyzed.Typical outer Ballistic Trajectory simulation models object oriented were established.Simulation calculation on different hardware apparatus was carried.The efficiency and precision of calculation was analyzed.Simulation test results indicate that the portable Ballistic Trajectory simulation calculation system Android operation system based can fulfil requirements of army operation completely.
Yuanbo Xin - One of the best experts on this subject based on the ideXlab platform.
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HPCA (China) - The oblique water entry impact of a torpedo and its Ballistic Trajectory simulation
Lecture Notes in Computer Science, 2010Co-Authors: Zhaoyu Wei, Xiuhua Shi, Yonghu Wang, Yuanbo XinAbstract:The torpedo water entry impact has a great effect on its underwater Ballistic Trajectory. In the paper, by wind tunnel experiments we get the torpedo water entry drag coefficient, amending it with supercavitation continuous factor and local cavity effect factor, and then the torpedo motion equation is established. Finally, the large scale nonlinear finite element software MSC.dytran is used to simulate the initial water entry impact of a Disk-Ogive-Head [1] torpedo. Then the motion parameters in the end of this stage are input into the motion equation as initial input values; finally, two parts of data are combined to get the whole parameters. The model uses cavitation number to determine torpedo’s cavity, supercavitation, partial cavity or full wet navigation stage.
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the oblique water entry impact of a torpedo and its Ballistic Trajectory simulation
IEEE International Conference on High Performance Computing Data and Analytics, 2009Co-Authors: Zhaoyu Wei, Xiuhua Shi, Yonghu Wang, Yuanbo XinAbstract:The torpedo water entry impact has a great effect on its underwater Ballistic Trajectory. In the paper, by wind tunnel experiments we get the torpedo water entry drag coefficient, amending it with supercavitation continuous factor and local cavity effect factor, and then the torpedo motion equation is established. Finally, the large scale nonlinear finite element software MSC.dytran is used to simulate the initial water entry impact of a Disk-Ogive-Head [1] torpedo. Then the motion parameters in the end of this stage are input into the motion equation as initial input values; finally, two parts of data are combined to get the whole parameters. The model uses cavitation number to determine torpedo’s cavity, supercavitation, partial cavity or full wet navigation stage.
Zheng Zhi-qiang - One of the best experts on this subject based on the ideXlab platform.
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Development of Ballistic Trajectory Simulation System for Guided Bombs
Computer Simulation, 2008Co-Authors: Zheng Zhi-qiangAbstract:The development of Ballistic Trajectory simulation system for guided bombs was proposed.The task is divided into two parts.One is to constitute Trajectory model,environment model and guided control model.The other is to discuss how to realize these models in program languages or software.Firstly,a nonlinear variable coefficient differential dynamic model was constituted to describe the motion of guided bombs.The guidance control model could be easily modified to represent different guidance and control methods.And a complete environment model was used.Hence,the simulation model was capable to accomplish the simulation of attacking different targets.Secondly,Simulink was utilized to realize the Trajectory simulation model.In order to improve simulation efficiency,the Techniques of Multiple rate transition and Real-Time Workshop(RTW) are used.Finally,a Trajectory simulation test was done based on a certain type of guided bombs.The simulation data are comparative to those from shooting range,and the results prove the model to be usable.
Zhaoyu Wei - One of the best experts on this subject based on the ideXlab platform.
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HPCA (China) - The oblique water entry impact of a torpedo and its Ballistic Trajectory simulation
Lecture Notes in Computer Science, 2010Co-Authors: Zhaoyu Wei, Xiuhua Shi, Yonghu Wang, Yuanbo XinAbstract:The torpedo water entry impact has a great effect on its underwater Ballistic Trajectory. In the paper, by wind tunnel experiments we get the torpedo water entry drag coefficient, amending it with supercavitation continuous factor and local cavity effect factor, and then the torpedo motion equation is established. Finally, the large scale nonlinear finite element software MSC.dytran is used to simulate the initial water entry impact of a Disk-Ogive-Head [1] torpedo. Then the motion parameters in the end of this stage are input into the motion equation as initial input values; finally, two parts of data are combined to get the whole parameters. The model uses cavitation number to determine torpedo’s cavity, supercavitation, partial cavity or full wet navigation stage.
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the oblique water entry impact of a torpedo and its Ballistic Trajectory simulation
IEEE International Conference on High Performance Computing Data and Analytics, 2009Co-Authors: Zhaoyu Wei, Xiuhua Shi, Yonghu Wang, Yuanbo XinAbstract:The torpedo water entry impact has a great effect on its underwater Ballistic Trajectory. In the paper, by wind tunnel experiments we get the torpedo water entry drag coefficient, amending it with supercavitation continuous factor and local cavity effect factor, and then the torpedo motion equation is established. Finally, the large scale nonlinear finite element software MSC.dytran is used to simulate the initial water entry impact of a Disk-Ogive-Head [1] torpedo. Then the motion parameters in the end of this stage are input into the motion equation as initial input values; finally, two parts of data are combined to get the whole parameters. The model uses cavitation number to determine torpedo’s cavity, supercavitation, partial cavity or full wet navigation stage.
Mulugeta A Haile - One of the best experts on this subject based on the ideXlab platform.
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Ballistic Trajectory estimation using polynomial chaos based square root ensemble filter
International Conference on Information Fusion, 2019Co-Authors: Tao Sun, Ruixin Niu, Mulugeta A HaileAbstract:The Ballistic Trajectory estimation problem is challenging, mainly because the dynamic model and the angle-only measurement model are highly nonlinear. In this paper, we propose a polynomial chaos expansion based square root ensemble Kalman filter to solve the Ballistic Trajectory estimation problem. Between two consecutive measurements, polynomial chaos-based approach is used for uncertainty propagation. Upon a new measurement's arrival, a predicted ensemble generated from the predicted state is corrected through the ensemble square root technique and the obtained analysis ensemble is utilized to form the polynomial chaos representation of the target state. Simulation results show the proposed approach's superiority to previous popular nonlinear estimation methods such as the extended Kalman filter, the unscented Kalman filter, and the polynomial chaos-based ensemble filter with the first order linearization, in terms of the root mean square error (RMSE).
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FUSION - Ballistic Trajectory Estimation Using Polynomial Chaos Based Square Root Ensemble Filter
2019Co-Authors: Tao Sun, Ruixin Niu, Mulugeta A HaileAbstract:The Ballistic Trajectory estimation problem is challenging, mainly because the dynamic model and the angle-only measurement model are highly nonlinear. In this paper, we propose a polynomial chaos expansion based square root ensemble Kalman filter to solve the Ballistic Trajectory estimation problem. Between two consecutive measurements, polynomial chaos-based approach is used for uncertainty propagation. Upon a new measurement's arrival, a predicted ensemble generated from the predicted state is corrected through the ensemble square root technique and the obtained analysis ensemble is utilized to form the polynomial chaos representation of the target state. Simulation results show the proposed approach's superiority to previous popular nonlinear estimation methods such as the extended Kalman filter, the unscented Kalman filter, and the polynomial chaos-based ensemble filter with the first order linearization, in terms of the root mean square error (RMSE).
