Jiuquan Satellite Launch Center in China

Jiuquan, China

Jiuquan Satellite Launch Center in China

Jiuquan, China
SEARCH FILTERS
Time filter
Source Type

Zhao S.,Shanghai JiaoTong University | Dun X.,Shanghai JiaoTong University | Lu J.,Jiuquan Satellite Launch Center in China | Zou L.,Jiuquan Satellite Launch Center in China | Xu B.,Shanghai Aerospace Bureau
Jiqiren/Robot | Year: 2012

Aiming at the automatic rocket-attaching problem of the auto-docking and auto-separating robot for launch vehicle propellant loading, a control system is designed for the automatic rocket-attaching module. The system uses image processing algorithm to provide visual information for the autonomous navigation positioning in plane, and the force servo algorithm is designed to assist the rocket-attaching to complete smoothly. A large number of docking simulation experiments and the experiments on real rockets prove the reliability and stability of the control system.


Huang X.,Shanghai JiaoTong University | Dun X.,Shanghai JiaoTong University | Zhang Y.,Jiuquan Satellite Launch Center in China | Zhang Y.,National University of Defense Technology | And 4 more authors.
Jiqiren/Robot | Year: 2010

To improve reliability and security of the fueling system in rocket launch, an auto-docking and auto-separating mechanism is designed for the rocket fuel loading. The ADAMS is used to carry out the kinematics and dynamics simulations, getting the connector simulation output curves from the given input ones. The reasonableness and practicality of the designed mechanism are verified by analysis.


Li W.,Jiuquan Satellite Launch Center in China | Ai M.,Jiuquan Satellite Launch Center in China | Qiu J.,Jiuquan Satellite Launch Center in China | Liu L.,Jiuquan Satellite Launch Center in China
Proceedings of 2015 IEEE International Conference on Progress in Informatics and Computing, PIC 2015 | Year: 2015

Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) codes have practical significance in the field of engineering, thus their construction algorithm is a hot issue in the field of LDPC codes. Based on existing construction methods, particularly the method based on Progressive Edge-Growth (PEG) algorithm, a new construction method of shift matrix is proposed. It can effectively avoid the copy of cycle structures, especially short cycles in base matrix after extension. Besides, it also relieves the time cost caused by random search, and greatly improves the length of cycles when compared with algorithms based on methods such as quadratic congruence and arithmetic sequence. Those algorithms can only eliminate short cycles with length 4, while our method can provide QC-LDPC codes without length 6 at least. Cycle analysis and simulation results show that the newly constructed QC-LDPC codes have good cycle structure and error correction performance. © 2015 IEEE.


Li X.,Wuhan Naval University of Engineering | Lv J.,Jiuquan Satellite Launch Center in China
Advanced Materials Research | Year: 2013

Neural networks have been widely accepted as a good method for signal separation, signal detection and so on. Focused neural network is one of these, which do not need known knowledge of its parameters, and the signal separation effect is more satisfactory. Focused neural network can be used to separate the signal from the signal and noise mixture, the computer simulation experiment shows that the effect of the filter is fairly good. © (2013) Trans Tech Publications, Switzerland.


Zhao S.,Shanghai JiaoTong University | Dun X.,Shanghai JiaoTong University | Qian J.,Shanghai JiaoTong University | Shen C.,China Aerospace Science and Technology Corporation | And 4 more authors.
Jiqiren/Robot | Year: 2011

For the large mobile platform without position sensor, a localization system using laser radar is designed. The system extracts the features of line segments and landmarks in the environment using laser radar, and then uses the EKF (extended Kalman filter) algorithm for movement prediction and position amendment of the platform, thus the localization is completed. A large number of experiments prove the precision and reliability of the system.


Li X.M.,Wuhan Naval University of Engineering | Lv J.M.,Jiuquan Satellite Launch Center in China | Zhang Y.B.,Wuhan Naval University of Engineering | Huang X.F.,The peoples liberation army 61541 troops
Advanced Materials Research | Year: 2014

With the development of the signal processing and the medical technique, EEG (electroencephalogram) check has been usually used to analyze the brain activity in the clinical medical, which can distinguish the abnormal circadian state from the normal circadian state. Here puts forth Lyapunov index analysis method to analyze the circadian state by the medical personnel or researcher, and the validity of the method is verified in some related graph through computer simulation, and all the method bridges a connection between the Chaos state and the medical EEG diagnoses. © (2014) Trans Tech Publications, Switzerland.

Loading Jiuquan Satellite Launch Center in China collaborators
Loading Jiuquan Satellite Launch Center in China collaborators