Distributed variational sparse Bayesian compressed sensing based on factor graphs
A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.016/ |
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| _version_ | 1841539740080275456 |
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| author | Cui-tao ZHU Fan YANG Han-xin WANG Zhong-jie LI |
| author_facet | Cui-tao ZHU Fan YANG Han-xin WANG Zhong-jie LI |
| author_sort | Cui-tao ZHU |
| collection | DOAJ |
| description | A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR. |
| format | Article |
| id | doaj-art-76d62cde9e4f42c594088548a7d33187 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-76d62cde9e4f42c594088548a7d331872025-01-14T06:42:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-01-013514014759678950Distributed variational sparse Bayesian compressed sensing based on factor graphsCui-tao ZHUFan YANGHan-xin WANGZhong-jie LIA distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.016/cognitive radiospectrum sensingfactor graphvariational sparse Bayesian learning |
| spellingShingle | Cui-tao ZHU Fan YANG Han-xin WANG Zhong-jie LI Distributed variational sparse Bayesian compressed sensing based on factor graphs Tongxin xuebao cognitive radio spectrum sensing factor graph variational sparse Bayesian learning |
| title | Distributed variational sparse Bayesian compressed sensing based on factor graphs |
| title_full | Distributed variational sparse Bayesian compressed sensing based on factor graphs |
| title_fullStr | Distributed variational sparse Bayesian compressed sensing based on factor graphs |
| title_full_unstemmed | Distributed variational sparse Bayesian compressed sensing based on factor graphs |
| title_short | Distributed variational sparse Bayesian compressed sensing based on factor graphs |
| title_sort | distributed variational sparse bayesian compressed sensing based on factor graphs |
| topic | cognitive radio spectrum sensing factor graph variational sparse Bayesian learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.01.016/ |
| work_keys_str_mv | AT cuitaozhu distributedvariationalsparsebayesiancompressedsensingbasedonfactorgraphs AT fanyang distributedvariationalsparsebayesiancompressedsensingbasedonfactorgraphs AT hanxinwang distributedvariationalsparsebayesiancompressedsensingbasedonfactorgraphs AT zhongjieli distributedvariationalsparsebayesiancompressedsensingbasedonfactorgraphs |