Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution
A novel maximum-minimum eigenvalue (NMME) cooperative spectrum sensing algorithm and threshold decision rule are proposed via analyzing minimum eigenvalue limiting distribution of the covariance matrix of the received signals from multiple cognitive users (CU) by means of latest random matrix theory...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2015-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015010/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841539697918083072 |
|---|---|
| author | Yin MI Guang-yue LU |
| author_facet | Yin MI Guang-yue LU |
| author_sort | Yin MI |
| collection | DOAJ |
| description | A novel maximum-minimum eigenvalue (NMME) cooperative spectrum sensing algorithm and threshold decision rule are proposed via analyzing minimum eigenvalue limiting distribution of the covariance matrix of the received signals from multiple cognitive users (CU) by means of latest random matrix theory (RMT).The proposed scheme could not need the prior knowledge of the signal transmitted from primary user (PU) and could effectively overcome the noise uncertainty.At a given probability of false alarm (P<sub>fa</sub>),simulation results show that the proposed scheme can get lower decision threshold and higher probability of detection (P<sub>d</sub>) compared with the original algorithm,and it can also get better detection performance with fewer CU and smaller sample numbers. |
| format | Article |
| id | doaj-art-f1c516f7088b4e42a023bf9c8b09d67b |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-f1c516f7088b4e42a023bf9c8b09d67b2025-01-14T06:45:26ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-01-0136848959689873Cooperative spectrum sensing algorithm based on limiting eigenvalue distributionYin MIGuang-yue LUA novel maximum-minimum eigenvalue (NMME) cooperative spectrum sensing algorithm and threshold decision rule are proposed via analyzing minimum eigenvalue limiting distribution of the covariance matrix of the received signals from multiple cognitive users (CU) by means of latest random matrix theory (RMT).The proposed scheme could not need the prior knowledge of the signal transmitted from primary user (PU) and could effectively overcome the noise uncertainty.At a given probability of false alarm (P<sub>fa</sub>),simulation results show that the proposed scheme can get lower decision threshold and higher probability of detection (P<sub>d</sub>) compared with the original algorithm,and it can also get better detection performance with fewer CU and smaller sample numbers.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015010/cognitive radiospectrum sensingrandom matrix theorysample covariance matrixlimiting eigenvalue dis-tribution |
| spellingShingle | Yin MI Guang-yue LU Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution Tongxin xuebao cognitive radio spectrum sensing random matrix theory sample covariance matrix limiting eigenvalue dis-tribution |
| title | Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| title_full | Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| title_fullStr | Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| title_full_unstemmed | Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| title_short | Cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| title_sort | cooperative spectrum sensing algorithm based on limiting eigenvalue distribution |
| topic | cognitive radio spectrum sensing random matrix theory sample covariance matrix limiting eigenvalue dis-tribution |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015010/ |
| work_keys_str_mv | AT yinmi cooperativespectrumsensingalgorithmbasedonlimitingeigenvaluedistribution AT guangyuelu cooperativespectrumsensingalgorithmbasedonlimitingeigenvaluedistribution |