Fuzzy Jamming Pattern Recognition Based on Statistic Parameters of Signal's PSD |
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引用本文: | 牛英滔,姚富强,陈建忠.Fuzzy Jamming Pattern Recognition Based on Statistic Parameters of Signal's PSD[J].兵工学报(英文版),2011(1):15-23. |
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作者姓名: | 牛英滔 姚富强 陈建忠 |
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作者单位: | Nanjing Telecommunication Technology Institute |
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基金项目: | National Nature Science Foundation of China (61072078), China Postdoctoral Science Foundation Funded Project (20090461426) and Jiangsu Planned Projects for Postdoctoral Research Funds (0902039C) |
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摘 要: | In order to recognize the jamming pattern in anti-jamming, a novel fuzzy jamming recognition method based on statistic parameters of received signal’s power spectral density (PSD) is proposed. It exploits PSD’s shape factor and skewness of received signal as classified characters of jamming pattern. After the mean center and variance of each jamming pattern are calculated by using some jamming samples, an exponential fuzzy membership function is used to calculate the membership value of the recognized sample. Finally, the jamming pattern of received signal is recognized by the maximum membership principle. The simulation results show that the proposed algorithm can recognize common eight jamming patterns accurately.
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关 键 词: | communication technology shape factor skewness jamming pattern fuzzy recognition |
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