Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix
In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eig...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2017-09-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017255/ |
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| _version_ | 1841530191435792384 |
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| author | Xuemei YANG Xi HE Jiapin XU |
| author_facet | Xuemei YANG Xi HE Jiapin XU |
| author_sort | Xuemei YANG |
| collection | DOAJ |
| description | In order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms. |
| format | Article |
| id | doaj-art-1e66c35df42f466bb8de5ce7511abc10 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2017-09-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-1e66c35df42f466bb8de5ce7511abc102025-01-15T03:06:09ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012017-09-0133697559600080Spectrum sensing algorithm based on the eigenvalue of Wishart random matrixXuemei YANGXi HEJiapin XUIn order to improve the spectrum sensing performance and overcome the shortcomings of the classical algorithm,a new cooperative spectrum sensing algorithm based on Wishart random matrix theory was proposed.According to the logarithmic distribution characteristics of the sampled covariance matrix eigenvalues and using the ratio of maximum eigenvalue and geometric mean eigenvalue,a simple closed-form threshold expression could be obtained,and the spectrum sensing decision could be performed depend on the threshold.The simulation results show that the proposed algorithm can get better sensing performance even under the conditions of a few number of cooperative users,low signal to noise ratio and a few samples.It is less affected by false-alarm probability and the extreme values,and has better detection performance than similar algorithms.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017255/spectrum sensingWishart random matrixsample covariance matrixgeometric mean eigenvalue |
| spellingShingle | Xuemei YANG Xi HE Jiapin XU Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix Dianxin kexue spectrum sensing Wishart random matrix sample covariance matrix geometric mean eigenvalue |
| title | Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix |
| title_full | Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix |
| title_fullStr | Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix |
| title_full_unstemmed | Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix |
| title_short | Spectrum sensing algorithm based on the eigenvalue of Wishart random matrix |
| title_sort | spectrum sensing algorithm based on the eigenvalue of wishart random matrix |
| topic | spectrum sensing Wishart random matrix sample covariance matrix geometric mean eigenvalue |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2017255/ |
| work_keys_str_mv | AT xuemeiyang spectrumsensingalgorithmbasedontheeigenvalueofwishartrandommatrix AT xihe spectrumsensingalgorithmbasedontheeigenvalueofwishartrandommatrix AT jiapinxu spectrumsensingalgorithmbasedontheeigenvalueofwishartrandommatrix |