Chen Y.,Zhengzhou Institute of Aeronautical Industry Management |
Zhang C.,Air Defense Forces Command Academy
International Journal of Digital Content Technology and its Applications | Year: 2011
The independent component analysis (ICA) algorithm and ICA basic model were studied in detail in this paper. We mainly discussed the mathematical theory of ICA and Fast ICA algorithm of the most widely used at home and abroad. Then, we carried out simulation in blind sources process of the mixing images. Through simulation of three color images (640*480) mixed by a 3*3 random matrix, and using the Fast ICA separation algorithm, we realized the mixed blind source separation. The simulation experiment results show that the Fast ICA algorithm can gain a good approach effect, and the separation image is basical consistent with the original image.
Zhang S.,Luoyang University of Foreign Languages |
Cheng Q.,Luoyang University of Foreign Languages |
Cheng Q.,China Institute of Technology |
Wang X.,Air Defense Forces Command Academy
Proceedings - 2010 WASE International Conference on Information Engineering, ICIE 2010 | Year: 2010
In 2009, Hölbl et al. proposed two new identity-based authenticated key exchange protocols and claimed that their protocols can withstand various attacks. In this paper, we will show that Hölbl et al.'s protocols cannot resist basic impersonation attack. It also means that their protocols are vulnerable to key compromise impersonation (KCI) attacks. Furthermore, we propose improvements of their protocols with impersonation attack resilience and KCI resilience. © 2010 IEEE.
Shi W.,Nanjing Institute of Technology |
Zhang Q.,Military Representative Office Stationed in the 710 Factory |
Du H.,Air Defense Forces Command Academy
2010 International Conference on Microwave and Millimeter Wave Technology, ICMMT 2010 | Year: 2010
This paper studies pattern optimization of an offset parabolic reflector antenna with phased array feeds. Considering quantization requirements, to solve optimum weight vector of phased array feeds can be modeled as integer programming problem, which is optimized with the quantum particle swarm optimization (QPSO) algorithm. The optimization with QPSO to determine the quantized element weights is found to yield excellent performance of an offset parabolic reflector antenna, with limited beam electronically scanning and nulling capability. Numerical results of convergence for the QPSO algorithm and the classical particle swarm optimization (CPSO) algorithm are shown and discussed. © 2010 IEEE.
Cheng H.-W.,Air Defense Forces Command Academy |
Chen L.,Jiangsu University |
Wu L.-N.,Nanjing Southeast University
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | Year: 2010
Information fusion technique is utilized for modulation classification and a weighted voting algorithm is presented. Firstly, this algorithm defines a contribution to classification results to describe performance improvement of multisystems and depends on it to assign weights for each system. And then the modulation classification of multisystems is modeled as cooperative games and the weights are decided by Shapley value of cooperative games. Finally, by using the weighted voting algorithm presented, decision fusion results of modulation classification is processed. Computer simulation demonstrates an effective improvement in recognition performance via this algorithm.
Wang P.,Shenzhen University |
Xie W.-X.,Shenzhen University |
Liu Z.-X.,Shenzhen University |
Li P.-F.,Air Defense Forces Command Academy
Tien Tzu Hsueh Pao/Acta Electronica Sinica | Year: 2012
To solve the problem of multi-target tracking model with the time-varying number of targets, a novel Gaussian mixture PHD filter is proposed for the nonlinear Gaussian system. A third-degree Spherical-Radial rule is applied to calculate the prediction and update distributions of target states for nonlinear multi-target models. The pruning method is optimized by using a fuzzy threshold to avoid the exponential increasing of the Gaussian components. The measurements are used to generate the density of new targets that appear randomly anywhere in the observation space. The performance of the four nonlinear Gaussian Mixture PHD filters is compared. The simulation results demonstrated the efficiency of the proposed algorithm.