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Beijing, China

Zhang X.,China University of Geosciences | Chen G.X.,Chinese Peoples Public Security University | Hu D.K.,China Institute of Technology | Zhang L.,The Logistics Academy
Advanced Materials Research | Year: 2013

In order to find a better inversion solution suitable for special gas hydrate exploration area with distinctive geological conditions, this paper proposed model based wave impedance inversion. This new solution can fully use seismic data and logging or pseudo-logging data to establishing an initial model. By continually modifies and updates the geological model through model selective preference iteration, the inversion can figure out a final model that possesses accordance with the actual seismic data. Model based wave impedance inversion can break the limit of traditional seismic resolution theory and can bring the interpreter high quality inversion result and high resolution profiles. © (2013) Trans Tech Publications, Switzerland. Source


Shan D.-S.,Academy of Armored force Engineering | Zhang P.-Q.,Academy of Armored force Engineering | Wu Y.-W.,The Logistics Academy | Li C.,Wuhan Ordnance Sergeancy School | Wang Y.,Academy of Armored force Engineering
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2013

The Gun Control System has a complex structure and the model by traditional mechanism method is difficult to build its accurate model. Aiming at the problem, a method of parameter identification using recursive least square for the Gun Control System model was proposed. The cannon tower speed output data of a mode firstly was measured and used the tracking differential filter to clear up the output data. Then a model was selected and was used to estimate the model parameter and got the model of the target. Finally, the effective of the model was checked by using step response property label error evaluating method. The result shows that the method can be identified precisely with the identification model of Gun Control System and the model is effective. Source


Wu T.-F.,PLA University of Science and Technology | Wang H.-D.,The Logistics Academy | Guo R.-H.,PLA University of Science and Technology | Yang F.-H.,PLA University of Science and Technology | Li J.-P.,PLA University of Science and Technology
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2013

Signal transmission scheme suitable for low earth orbit mobile satellite communication system was presented. The proposed orthogonal code division multiplexed DS-CDMA system transforms serial information bit to multi-channel low-speed parallel data, which was modulated by parallel orthogonal spread spectrum code. The frequency offset was estimated and corrected by data-aided method during the UW of SCCC coded BPSK signal. The simulation results show that the algorithm BER performance degradation is very small. Source


Sun Y.,The Logistics Academy | Li X.-Y.,Academy of Armored force Engineering | Li X.-Y.,China Institute of Technology | Li M.,China Institute of Technology
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2013

Facing with the actual infrared scene simulation demands, and summing up technology feature of both OGRE three-dimensional rendering engine and GPU technology for image processor, a comprehensively technology demonstration was made that infrared scene simulation could be realized by using OGRE with GPU technology. At the same time, four key technology points of actual use were introduced in detail, including three-dimensional modeling, framework of scene data, picking up data format and method on improving infrared scene simulation in real time. Finally, experimental verification was gained through comparing scene image generation and infrared image photos. Source


Li X.,China Institute of Technology | Li X.,Academy of Armored force Engineering | Song J.,Academy of Armored force Engineering | Sun Y.,The Logistics Academy
WIT Transactions on Information and Communication Technologies | Year: 2014

After analyzing the characteristic of pulse coupled neural network (PCNN), a method combined PCNN and NSCT (Nonsubsampled Contourlet Transform) is proposed. The first step is that use the image decomposed by NSCT to select the fusion factor image by PCNN. Then based on the fusion factor image, the fusion coefficients are selected according to fusion rule designed. Finally, the fusion image is obtained with inverse NSCT. The results show that our image fusion method performs indeed much better than the existing region-based/ pixel-based Contourlet/NSCT. © 2014 WIT Press. Source

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