A spectrum sensing algorithm based on fourth-order cyclic polyspectrum
At present, most spectrum sensing algorithms based on energy detector and cyclic spectral density detector can only achieve well performance in the stationary noise, but fail to apply in the non-stationary noise environment. To remove enormous effect of non-stationary noise in spectrum sensing, this...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2018-03-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000079399 |
| _version_ | 1818199787748458496 |
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| author | Xu Junnan Wei Yimin Su Qiao Deng Changliang Shen Yuehong |
| author_facet | Xu Junnan Wei Yimin Su Qiao Deng Changliang Shen Yuehong |
| author_sort | Xu Junnan |
| collection | DOAJ |
| description | At present, most spectrum sensing algorithms based on energy detector and cyclic spectral density detector can only achieve well performance in the stationary noise, but fail to apply in the non-stationary noise environment. To remove enormous effect of non-stationary noise in spectrum sensing, this paper utilizes the fourth-order cyclic polyspectrum(FOCP) to inhibit non-stationary noise, proposes a spectrum sensing algorithm based on the FOCP. The algorithm first applies to the cumulant slice method to compute of FOCP. Then, the sum value of the magnitude square of the simplified FOCP(SS-FOCP) is used to sense the intercept signal of cognitive user. Finally, it calculates the crest factor to judge the presence or not of the primary user signal. The simulation results show that the proposed algorithm has higher detection probability and better performance than traditional algorithms in non-stationary noise environment. |
| first_indexed | 2024-12-12T02:27:19Z |
| format | Article |
| id | doaj.art-d70c243b612640f985b113b91988fab1 |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-12-12T02:27:19Z |
| publishDate | 2018-03-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-d70c243b612640f985b113b91988fab12022-12-22T00:41:31ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982018-03-014439910210.16157/j.issn.0258-7998.1724623000079399A spectrum sensing algorithm based on fourth-order cyclic polyspectrumXu Junnan0Wei Yimin1Su Qiao2Deng Changliang3Shen Yuehong4College of Communication Engineering，PLA University of Science and Technology，Nanjing 210000，ChinaCollege of Communication Engineering，PLA University of Science and Technology，Nanjing 210000，ChinaCollege of Communication Engineering，PLA University of Science and Technology，Nanjing 210000，ChinaCollege of Communication Engineering，PLA University of Science and Technology，Nanjing 210000，ChinaCollege of Communication Engineering，PLA University of Science and Technology，Nanjing 210000，ChinaAt present, most spectrum sensing algorithms based on energy detector and cyclic spectral density detector can only achieve well performance in the stationary noise, but fail to apply in the non-stationary noise environment. To remove enormous effect of non-stationary noise in spectrum sensing, this paper utilizes the fourth-order cyclic polyspectrum(FOCP) to inhibit non-stationary noise, proposes a spectrum sensing algorithm based on the FOCP. The algorithm first applies to the cumulant slice method to compute of FOCP. Then, the sum value of the magnitude square of the simplified FOCP(SS-FOCP) is used to sense the intercept signal of cognitive user. Finally, it calculates the crest factor to judge the presence or not of the primary user signal. The simulation results show that the proposed algorithm has higher detection probability and better performance than traditional algorithms in non-stationary noise environment.http://www.chinaaet.com/article/3000079399spectrum sensingfourth-order cyclic polyspectrum(FOCP)non-stationary noisedetection probability |
| spellingShingle | Xu Junnan Wei Yimin Su Qiao Deng Changliang Shen Yuehong A spectrum sensing algorithm based on fourth-order cyclic polyspectrum Dianzi Jishu Yingyong spectrum sensing fourth-order cyclic polyspectrum(FOCP) non-stationary noise detection probability |
| title | A spectrum sensing algorithm based on fourth-order cyclic polyspectrum |
| title_full | A spectrum sensing algorithm based on fourth-order cyclic polyspectrum |
| title_fullStr | A spectrum sensing algorithm based on fourth-order cyclic polyspectrum |
| title_full_unstemmed | A spectrum sensing algorithm based on fourth-order cyclic polyspectrum |
| title_short | A spectrum sensing algorithm based on fourth-order cyclic polyspectrum |
| title_sort | spectrum sensing algorithm based on fourth order cyclic polyspectrum |
| topic | spectrum sensing fourth-order cyclic polyspectrum(FOCP) non-stationary noise detection probability |
| url | http://www.chinaaet.com/article/3000079399 |
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