Data fusion for cooperative detection in cognitive radio system
The cooperative detection in cognitive radio system was investigated based on multi-sensor data fusion. For a certain scale of the online users, an optimal user number participating in data fusion existed. Based on this fact, a measure-based fusion method was proposed. This method dynamically adjust...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74649863/ |
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| _version_ | 1841537633725972480 |
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| author | LIN Wei1 WU Jie1 ZHANG Qin-yu1 ZHANG Nai-tong2 |
| author_facet | LIN Wei1 WU Jie1 ZHANG Qin-yu1 ZHANG Nai-tong2 |
| author_sort | LIN Wei1 |
| collection | DOAJ |
| description | The cooperative detection in cognitive radio system was investigated based on multi-sensor data fusion. For a certain scale of the online users, an optimal user number participating in data fusion existed. Based on this fact, a measure-based fusion method was proposed. This method dynamically adjusted the user number in fusion according to the received signal in each detection activity. Simulation shows the performance of over 60% detection is improved by this fusion method than the method with fixed fusion user number. |
| format | Article |
| id | doaj-art-9632746c5a4f4e77b7d0c276e72d9d42 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-9632746c5a4f4e77b7d0c276e72d9d422025-01-14T08:27:46ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-013013514074649863Data fusion for cooperative detection in cognitive radio systemLIN Wei1WU Jie1ZHANG Qin-yu1ZHANG Nai-tong2The cooperative detection in cognitive radio system was investigated based on multi-sensor data fusion. For a certain scale of the online users, an optimal user number participating in data fusion existed. Based on this fact, a measure-based fusion method was proposed. This method dynamically adjusted the user number in fusion according to the received signal in each detection activity. Simulation shows the performance of over 60% detection is improved by this fusion method than the method with fixed fusion user number.http://www.joconline.com.cn/zh/article/74649863/cognitive radiocooperative detectiondata fusionoptimal fusion user number |
| spellingShingle | LIN Wei1 WU Jie1 ZHANG Qin-yu1 ZHANG Nai-tong2 Data fusion for cooperative detection in cognitive radio system Tongxin xuebao cognitive radio cooperative detection data fusion optimal fusion user number |
| title | Data fusion for cooperative detection in cognitive radio system |
| title_full | Data fusion for cooperative detection in cognitive radio system |
| title_fullStr | Data fusion for cooperative detection in cognitive radio system |
| title_full_unstemmed | Data fusion for cooperative detection in cognitive radio system |
| title_short | Data fusion for cooperative detection in cognitive radio system |
| title_sort | data fusion for cooperative detection in cognitive radio system |
| topic | cognitive radio cooperative detection data fusion optimal fusion user number |
| url | http://www.joconline.com.cn/zh/article/74649863/ |
| work_keys_str_mv | AT linwei1 datafusionforcooperativedetectionincognitiveradiosystem AT wujie1 datafusionforcooperativedetectionincognitiveradiosystem AT zhangqinyu1 datafusionforcooperativedetectionincognitiveradiosystem AT zhangnaitong2 datafusionforcooperativedetectionincognitiveradiosystem |