Research on spectrum sensing algorithm based on smart grid
Broadband micro-power (BMP) wireless communication system is a power wireless private network system researched and developed on unlicensed spectrum resources to meet the communication needs of smart grid systems. Although the introduction of spectrum sensing technology of cognitive radio (CR) has a...
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| Format: | Article |
| Language: | zho |
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National Computer System Engineering Research Institute of China
2023-03-01
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| Series: | Dianzi Jishu Yingyong |
| Subjects: | |
| Online Access: | http://www.chinaaet.com/article/3000160093 |
| _version_ | 1797448223419269120 |
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| author | Chen Zhuo Wen Chun Lv Zhiheng |
| author_facet | Chen Zhuo Wen Chun Lv Zhiheng |
| author_sort | Chen Zhuo |
| collection | DOAJ |
| description | Broadband micro-power (BMP) wireless communication system is a power wireless private network system researched and developed on unlicensed spectrum resources to meet the communication needs of smart grid systems. Although the introduction of spectrum sensing technology of cognitive radio (CR) has alleviated the current problem of shortage of spectrum resources in smart grids, the sensing accuracy of order users under low signal-to-noise ratio still needs to be improved. To solve the above problems, this paper proposes a Variable Step Size Least Mean Square (VSS-LMS) spectrum sensing algorithm based on variable step size. When estimating the amplitude of the originally transmitted signal, the algorithm adds two parameters as a regulator, which can flexibly adjust the step size and smooth the error signal, to solve the contradiction between convergence speed and steady-state error and realize efficient spectrum sensing. Simulation results show that the proposed algorithm not only has good convergence, but also has good detection performance under low signal-to-noise ratio. Compared with the energy detection algorithm and LMS spectrum sensing algorithm, the spectrum detection performance of the system is improved. |
| first_indexed | 2024-03-09T14:07:22Z |
| format | Article |
| id | doaj.art-e9f5abfeea45440380640c3266ca6a8c |
| institution | Directory Open Access Journal |
| issn | 0258-7998 |
| language | zho |
| last_indexed | 2024-03-09T14:07:22Z |
| publishDate | 2023-03-01 |
| publisher | National Computer System Engineering Research Institute of China |
| record_format | Article |
| series | Dianzi Jishu Yingyong |
| spelling | doaj.art-e9f5abfeea45440380640c3266ca6a8c2023-11-30T03:43:54ZzhoNational Computer System Engineering Research Institute of ChinaDianzi Jishu Yingyong0258-79982023-03-0149310010510.16157/j.issn.0258-7998.2235853000160093Research on spectrum sensing algorithm based on smart gridChen Zhuo0Wen Chun1Lv Zhiheng2(School of Communication and Information Engineering， Chongqing University of Posts and Telecommunication， Chongqing 400065， China)(School of Communication and Information Engineering， Chongqing University of Posts and Telecommunication， Chongqing 400065， China)(School of Communication and Information Engineering， Chongqing University of Posts and Telecommunication， Chongqing 400065， China)Broadband micro-power (BMP) wireless communication system is a power wireless private network system researched and developed on unlicensed spectrum resources to meet the communication needs of smart grid systems. Although the introduction of spectrum sensing technology of cognitive radio (CR) has alleviated the current problem of shortage of spectrum resources in smart grids, the sensing accuracy of order users under low signal-to-noise ratio still needs to be improved. To solve the above problems, this paper proposes a Variable Step Size Least Mean Square (VSS-LMS) spectrum sensing algorithm based on variable step size. When estimating the amplitude of the originally transmitted signal, the algorithm adds two parameters as a regulator, which can flexibly adjust the step size and smooth the error signal, to solve the contradiction between convergence speed and steady-state error and realize efficient spectrum sensing. Simulation results show that the proposed algorithm not only has good convergence, but also has good detection performance under low signal-to-noise ratio. Compared with the energy detection algorithm and LMS spectrum sensing algorithm, the spectrum detection performance of the system is improved.http://www.chinaaet.com/article/3000160093 smart gridbroadband micro-powercognitive radiospectrum sensingleast mean square algorithmvariable step size component |
| spellingShingle | Chen Zhuo Wen Chun Lv Zhiheng Research on spectrum sensing algorithm based on smart grid Dianzi Jishu Yingyong smart grid broadband micro-power cognitive radio spectrum sensing least mean square algorithm variable step size component |
| title | Research on spectrum sensing algorithm based on smart grid |
| title_full | Research on spectrum sensing algorithm based on smart grid |
| title_fullStr | Research on spectrum sensing algorithm based on smart grid |
| title_full_unstemmed | Research on spectrum sensing algorithm based on smart grid |
| title_short | Research on spectrum sensing algorithm based on smart grid |
| title_sort | research on spectrum sensing algorithm based on smart grid |
| topic | smart grid broadband micro-power cognitive radio spectrum sensing least mean square algorithm variable step size component |
| url | http://www.chinaaet.com/article/3000160093 |
| work_keys_str_mv | AT chenzhuo researchonspectrumsensingalgorithmbasedonsmartgrid AT wenchun researchonspectrumsensingalgorithmbasedonsmartgrid AT lvzhiheng researchonspectrumsensingalgorithmbasedonsmartgrid |