New SNR estimation algorithm based on relevance vector machine
A new SNR estimation algorithm based on relevance vector machine (RVM) was proposed,it can not only be used under the flat fading channel,but also meet the request of larger estimation range and higher estimation accuracy of PSK.The estimation model was created by using RVM,based on the relation bet...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2013-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.025/ |
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| _version_ | 1841539847400980480 |
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| author | Bo HAN Jie WU Hua XU Hai-ou SHEN Peng LI |
| author_facet | Bo HAN Jie WU Hua XU Hai-ou SHEN Peng LI |
| author_sort | Bo HAN |
| collection | DOAJ |
| description | A new SNR estimation algorithm based on relevance vector machine (RVM) was proposed,it can not only be used under the flat fading channel,but also meet the request of larger estimation range and higher estimation accuracy of PSK.The estimation model was created by using RVM,based on the relation between the SNR and the two-order moments and four-order moments,and the reliable weights of the model can be figured out by straining and studying.Simulation results show that this algorithm has lots of advantages,for example,it uses less data and has larger estimation range than general algorithm,in addition,its estimation accuracy becomes higher in the effective estimation rang,and it is applicable to more modulation signals. |
| format | Article |
| id | doaj-art-e7deb007c7e044228cf512c0935a3a28 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e7deb007c7e044228cf512c0935a3a282025-01-14T06:35:11ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-04-013420120659671840New SNR estimation algorithm based on relevance vector machineBo HANJie WUHua XUHai-ou SHENPeng LIA new SNR estimation algorithm based on relevance vector machine (RVM) was proposed,it can not only be used under the flat fading channel,but also meet the request of larger estimation range and higher estimation accuracy of PSK.The estimation model was created by using RVM,based on the relation between the SNR and the two-order moments and four-order moments,and the reliable weights of the model can be figured out by straining and studying.Simulation results show that this algorithm has lots of advantages,for example,it uses less data and has larger estimation range than general algorithm,in addition,its estimation accuracy becomes higher in the effective estimation rang,and it is applicable to more modulation signals.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.025/SNR estimationflat fading channelrelevance vector machineweight |
| spellingShingle | Bo HAN Jie WU Hua XU Hai-ou SHEN Peng LI New SNR estimation algorithm based on relevance vector machine Tongxin xuebao SNR estimation flat fading channel relevance vector machine weight |
| title | New SNR estimation algorithm based on relevance vector machine |
| title_full | New SNR estimation algorithm based on relevance vector machine |
| title_fullStr | New SNR estimation algorithm based on relevance vector machine |
| title_full_unstemmed | New SNR estimation algorithm based on relevance vector machine |
| title_short | New SNR estimation algorithm based on relevance vector machine |
| title_sort | new snr estimation algorithm based on relevance vector machine |
| topic | SNR estimation flat fading channel relevance vector machine weight |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.04.025/ |
| work_keys_str_mv | AT bohan newsnrestimationalgorithmbasedonrelevancevectormachine AT jiewu newsnrestimationalgorithmbasedonrelevancevectormachine AT huaxu newsnrestimationalgorithmbasedonrelevancevectormachine AT haioushen newsnrestimationalgorithmbasedonrelevancevectormachine AT pengli newsnrestimationalgorithmbasedonrelevancevectormachine |