New approach for 2-D spectrum estimation——parameter weight method
A new approach of 2-D MUSIC algorithm was proposed.Using the eigenvector and the eigenvalue of the co-variance matrix simultaneously,the method was composed of two one-dimension searching and avoided the costly 2-D searching.The pairings of the estimated parameters were automatically determined and...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2006-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74661877/ |
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| _version_ | 1841537352188559360 |
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| author | BAO Zheng1 WANG Yong-liang2 |
| author_facet | BAO Zheng1 WANG Yong-liang2 |
| author_sort | BAO Zheng1 |
| collection | DOAJ |
| description | A new approach of 2-D MUSIC algorithm was proposed.Using the eigenvector and the eigenvalue of the co-variance matrix simultaneously,the method was composed of two one-dimension searching and avoided the costly 2-D searching.The pairings of the estimated parameters were automatically determined and the estimation precision was high.It was proved that the algorithm was valid even in the case that one of two parameters was same.Simulation results are presented to demonstrate the performance of the proposed method. |
| format | Article |
| id | doaj-art-96056607052240fb88a89fc48383e551 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2006-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-96056607052240fb88a89fc48383e5512025-01-14T08:39:06ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2006-01-01162074661877New approach for 2-D spectrum estimation——parameter weight methodBAO Zheng1WANG Yong-liang2A new approach of 2-D MUSIC algorithm was proposed.Using the eigenvector and the eigenvalue of the co-variance matrix simultaneously,the method was composed of two one-dimension searching and avoided the costly 2-D searching.The pairings of the estimated parameters were automatically determined and the estimation precision was high.It was proved that the algorithm was valid even in the case that one of two parameters was same.Simulation results are presented to demonstrate the performance of the proposed method.http://www.joconline.com.cn/zh/article/74661877/2-D spectrum estimationMUSICeigenvalue searcheigenvector |
| spellingShingle | BAO Zheng1 WANG Yong-liang2 New approach for 2-D spectrum estimation——parameter weight method Tongxin xuebao 2-D spectrum estimation MUSIC eigenvalue search eigenvector |
| title | New approach for 2-D spectrum estimation——parameter weight method |
| title_full | New approach for 2-D spectrum estimation——parameter weight method |
| title_fullStr | New approach for 2-D spectrum estimation——parameter weight method |
| title_full_unstemmed | New approach for 2-D spectrum estimation——parameter weight method |
| title_short | New approach for 2-D spectrum estimation——parameter weight method |
| title_sort | new approach for 2 d spectrum estimation parameter weight method |
| topic | 2-D spectrum estimation MUSIC eigenvalue search eigenvector |
| url | http://www.joconline.com.cn/zh/article/74661877/ |
| work_keys_str_mv | AT baozheng1 newapproachfor2dspectrumestimationparameterweightmethod AT wangyongliang2 newapproachfor2dspectrumestimationparameterweightmethod |