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Beijing, China

Li Y.-F.,PLA Second Artillery Engineering University | Liu J.-P.,Unit 61683 of the PLA | Shi C.-Y.,PLA Second Artillery Engineering University | Wang W.,PLA Second Artillery Engineering University
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2015

The model of command, control, communication, computer, intelligence, surveillance and reconnaissance (C4ISR) is the soul of warfare simulation system, and it is also the key and difficulty in warfare simulation. On the basis of analyzed the ISR sensor model of warfare modeling and simulation model for detection process modeling requirements, a general method for detecting of sensor model is proposed, and the overall flow of the method is introduced. The calculating process of the nine aspects of the methodology is described in detail. The input and output data binding model structure is described. Combined with the simulation experiments, the applicability and versatility of proposed method to improve the operating efficiency of the model are illustrated. The development costs are saved and a reference model for the ISR modeling and simulation is provided. ©, 2015, Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics. All right reserved. Source


Li Y.-F.,PLA Second Artillery Engineering University | Liu J.-P.,Unit 61683 of the PLA | Shi C.-Y.,PLA Second Artillery Engineering University | Wang Y.,Unit 96669 of the PLA
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2014

Operational effectiveness evaluation is of great significance to operation experiment analysis. The test evaluation thread of capability test methodology is described, the thread and exploratory regression analysis is advocated for system operational effectiveness evaluation. By experiment design and output data analysis, the main factor, the interaction of two factors and the optimal operation plan of operational effectiveness are given, and the effectiveness of the analysis method for operational evaluation is verified. Source


Cai J.-L.,PLA Air Force Aviation University | Bao Z.,Unit 61683 of the PLA | Tong C.-M.,PLA Air Force Aviation University | Ji W.-J.,PLA Air Force Aviation University | Zhong W.-J.,PLA Air Force Aviation University
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2012

A hybrid multi-phase particle swarm optimization (HMPPSO) is proposed to the inversion of perfect electric conductor (PEC) targets below the dielectric rough surface. While the errors between the measured bistatic scattering coefficients and the computed bistatic scattering coefficients are considered as the object function, the parameters of the buried object are viewed as the variables to be optimized. The buried object is inversed when the object function is minimized to the minimal. To quicken the inversion procedure and improve the inversion accuracy, a fast cross coupling iterative approach (CCIA) is used to solve the forward scattering problem and the HMPPSO, which is based on a small swarm size strategy and cross searching mechanism among the sub-swarms and optimal swarm, is used to reduce the object function evaluation times (corresponding to the forward problem calculation times) and improve the global searching ability. The PEC objects with the cross section of circular and of any irregular continuous shape below one dimensional rough surface are inversed and both the accuracy and the robust of anti-noise of the algorithm are validated by simulation. Source

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