Effectiveness evaluation of integrated anti-jamming for wireless communication system

被引:2
|
作者
Chen Y.-D. [1 ]
Li S.-Q. [1 ]
Cheng Y.-F. [1 ]
机构
[1] National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China
关键词
Analysis of hierarchy process; Communication countermeasures; Effectiveness evaluation; Multi-objective;
D O I
10.3969/j.issn.1001-0548.2010.02.009
中图分类号
学科分类号
摘要
The relationship between the game players in wireless communication countermeasures is studied in this paper. Based on analysis of hierarchy process (AHP), a set of indicators for wireless communication system evaluation in adverse electromagnetism environment are constructed. Furthermore, an evaluating model for appraising the anti-jamming effectiveness of wireless communication system is provided. Through normalization processing, the basic elements of wireless communication, the anti-jamming ability of wireless communication system in various countermeasures conditions could be appraised by using this model. Simulation shows the validity of improving the integrated anti-jamming capability of the system through combining the evaluation model and jamming detection method.
引用
收藏
页码:196 / 199+208
相关论文
共 14 条
  • [1] Guo L.-L., Sun Z.-G., Communication Countermeasure Technique, (2007)
  • [2] Zhao M., Yang X.-N., Zou S.-C., Et al., Electronics Warfare Technology and Application - Communication Countermeasure Book, (2005)
  • [3] Li Y., Chen H.-L., Evaluation method of jamming effect on ISAR based on correlation coefficient, Journal of University of Electronic Science and Technology of China, 35, 4, pp. 468-470, (2006)
  • [4] Xu M.-D., Huang Z.-H., Wang J.-L., An electre optimal model in multi-objectives decision making of electronic countermeasures equipment system, Ship Electronic Engineering, 25, 6, pp. 11-13, (2005)
  • [5] Wang Z.-Y., Wang C.-X., Zhang J.-H., The multi-object weights evaluation method based on ideal interval number and entropy, Chinese Journal of Engineering Mathematics, 23, 1, pp. 13-19, (2006)
  • [6] Miyamoto T., Noguchi S., Yamashita H., Selection of an optimal solution for multiobjective electromagnetic apparatus desing based on game theory, IEEE Trans on Magnetics, 44, 6, pp. 1026-1029, (2008)
  • [7] Simon M.K., Omura J.K., Scholtz R.A., Et al., Spread Spectrum Communications Handbook, (2002)
  • [8] Luis F., Antonio P., Gareth P., Evaluating distributed time-varying generation through a multiobjective index, IEEE Trans on Power Delivery, 23, 2, pp. 1132-1138, (2008)
  • [9] Miguel D., Manuel P., Maria C., Multiobjective hybrid optimization and training of recurrent neural networks, IEEE Trans on Systems, Man, and Cybernetics, 38, 2, pp. 381-403, (2008)
  • [10] Li X.-H., A model based on the grey relation grade for multi-objective decision-making and its application, Journal of Shandong University, 42, 12, pp. 36-36, (2007)