No 63961 Unit

Beijing, China

No 63961 Unit

Beijing, China
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Wang X.-J.,Beijing Institute of Technology | Wang X.-J.,No 63961 Unit | Xiao Y.-L.,Chinese People's Liberation Army | Wei S.-J.,Beijing Institute of Technology
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology | Year: 2011

An ideal model and its extended model of attack path reconstruction for IP traceback were established. Based on the method of probabilistic packet marking, attack path reconstructing process could be described as a convergent stochastic process, and the quantitative relationship of convergence time, path length and marking probability was presented. The required condition to obtain minimum convergence time was derived. The simulation results show that experimental values coincide with the theory results very well. The model provides a theoretic foundation for further research work on probabilistic packet marking approach.

Han N.,Ordnance Engineering College | Wang L.,Ordnance Engineering College | Wang L.,No 63961 Unit | He Q.,Ordnance Engineering College | Dong J.,Ordnance Engineering College
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | Year: 2012

To absolve the defocusing problem caused by bistatic angle change and synchronization error in bistatic inverse synthetic aperture radar (BISAR) for space targets, a non-parameter autofocusing algorithm based on particle swarm optimization (PSO) is put forward. Phase variation caused by translational motion, rotation and various other factors is modeled as a whole, and based on the optimization aim of maximizing the image contrast, all the second and higher order phase items are estimated using the PSO. Then, image autofocusing is completed using the estimated phase error. Finally, the first order phase item which is left over after phase compensation is used for ISAR imaging. Defocusing caused by model error in the parameter autofocusing algorithm is solved and the complexity of BISAR autofocusing is decreased. The validity of this algorithm is proved by a comparison with the parameter autofocusing algorithm through simulation experiment.

Chen L.,No 63961 Unit | Chen L.,Beijing Institute of Technology | Wang Z.,No 63961 Unit | Wu Z.,No 63961 Unit | Wang B.,Beijing Institute of Technology
Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica | Year: 2014

In antiaircraft weapon-target assignment, damage time could be delayed under maximum damage principle with firepower resources constraint, when firepower resources are sufficient. To cope with the disadvantage, a new weapon-target assignment model under earlier damage is proposed. In the new model targets with high target threat are firstly assigned to a few weapons, which can damage these targets as early as possible, and the damage probability is greater than the preset threshold. That is to say, by using flying time from target to weapon, the damage time is considered except damage probability and firepower resources, and serious and earlier damage with fewer firepower resources can be achieved at the same time. Based on the new model, a mixed chaos and discrete particle swarm optimization (CDPSO) algorithm is presented to solve the weapon-target assignment problem. The proposed algorithm improves the seeking ability for the global optimal solution, so that the local extremum is avoided. Simulation results show the advantage of the new weapon-target assignment model, as well as the effectiveness and the superiority of the proposed mixed optimization algorithm.

Xu W.-X.,No 63961 Unit | Li Z.,No 63961 Unit | Zhang G.-Y.,No 63961 Unit
Binggong Xuebao/Acta Armamentarii | Year: 2011

In order to research the impact of maneuver target on guidance accuracy, the target maneuvering statistical characteristics described as differential of target acceleration is colored-noise-sequence, and related system state model is established. This method has larger range of target maneuver pattern than statistics of white-noise-sequence. The system state model is solved by Kalman filtering algorithm to realize the closement of optimal guidance loop. Simulation result indicates that the hit precision has been improved greatly when engaged for high maneuver targets such as lower-flying helicopter without changing the missile hardware. The paper provides design reference for optimal guidance of indirect aiming missile.

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