Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio
In cognitive radio system,the traditional methods of digital modulation signals recognition with Alpha stable distribution noise have the problems of poor performance and high computation complexity.A novel recognition method based on correlation coefficient of fractional lower order cyclic spectrum...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.010/ |
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| _version_ | 1841539758411481088 |
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| author | Ming-qian LIU Bing-bing LI Chao-feng CAO Zhao LI |
| author_facet | Ming-qian LIU Bing-bing LI Chao-feng CAO Zhao LI |
| author_sort | Ming-qian LIU |
| collection | DOAJ |
| description | In cognitive radio system,the traditional methods of digital modulation signals recognition with Alpha stable distribution noise have the problems of poor performance and high computation complexity.A novel recognition method based on correlation coefficient of fractional lower order cyclic spectrum was proposed to solve this problem.The method extracts the recognition characteristic parameters which are five correlation coefficients of the fractional lower order cyclic spectrum’s section and frequency spectrum’s section and projection planes of both,and then decision tree was used as a classifier to achieve digital modulation signals recognition.Simulation results show that the proposed method not only has higher recognition rates and better robustness but also has lower computation complexity in an Alpha stable distribution noise environment,which is more suitable for cognitive radio system. |
| format | Article |
| id | doaj-art-acdee8a9c0d240918c2c0e6835c8615a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-acdee8a9c0d240918c2c0e6835c8615a2025-01-14T06:42:29ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-01-0135828859678769Recognition method of digital modulation signals over non-Gaussian noise in cognitive radioMing-qian LIUBing-bing LIChao-feng CAOZhao LIIn cognitive radio system,the traditional methods of digital modulation signals recognition with Alpha stable distribution noise have the problems of poor performance and high computation complexity.A novel recognition method based on correlation coefficient of fractional lower order cyclic spectrum was proposed to solve this problem.The method extracts the recognition characteristic parameters which are five correlation coefficients of the fractional lower order cyclic spectrum’s section and frequency spectrum’s section and projection planes of both,and then decision tree was used as a classifier to achieve digital modulation signals recognition.Simulation results show that the proposed method not only has higher recognition rates and better robustness but also has lower computation complexity in an Alpha stable distribution noise environment,which is more suitable for cognitive radio system.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.010/cognitive radiomodulation recognitionAlpha stable distributionfractional lower order cyclic spectrumcorrelation coefficient |
| spellingShingle | Ming-qian LIU Bing-bing LI Chao-feng CAO Zhao LI Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio Tongxin xuebao cognitive radio modulation recognition Alpha stable distribution fractional lower order cyclic spectrum correlation coefficient |
| title | Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio |
| title_full | Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio |
| title_fullStr | Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio |
| title_full_unstemmed | Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio |
| title_short | Recognition method of digital modulation signals over non-Gaussian noise in cognitive radio |
| title_sort | recognition method of digital modulation signals over non gaussian noise in cognitive radio |
| topic | cognitive radio modulation recognition Alpha stable distribution fractional lower order cyclic spectrum correlation coefficient |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.010/ |
| work_keys_str_mv | AT mingqianliu recognitionmethodofdigitalmodulationsignalsovernongaussiannoiseincognitiveradio AT bingbingli recognitionmethodofdigitalmodulationsignalsovernongaussiannoiseincognitiveradio AT chaofengcao recognitionmethodofdigitalmodulationsignalsovernongaussiannoiseincognitiveradio AT zhaoli recognitionmethodofdigitalmodulationsignalsovernongaussiannoiseincognitiveradio |