Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm
The new lp norm was introduced to substitute the l<sub>0</sub> and l<sub>1</sub> norm,as they met some problems when used to estimate sparse channel in LMS algorithm.By analyzing the l<sub>p</sub> norm,the optimal value of p was obtained,it was 1/2.Then a most spa...
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| Format: | Article |
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Editorial Department of Journal on Communications
2012-11-01
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| Series: | Tongxin xuebao |
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| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.036/ |
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| _version_ | 1841539797386002432 |
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| author | Jian-bin FU Hua PENG Zheng DONG |
| author_facet | Jian-bin FU Hua PENG Zheng DONG |
| author_sort | Jian-bin FU |
| collection | DOAJ |
| description | The new lp norm was introduced to substitute the l<sub>0</sub> and l<sub>1</sub> norm,as they met some problems when used to estimate sparse channel in LMS algorithm.By analyzing the l<sub>p</sub> norm,the optimal value of p was obtained,it was 1/2.Then a most sparse solution could be gotten for channel estimation.And it both saved the cost for training sequence and solved the lack of data size by using data reusing method.Simulation results show that the l<sub>p</sub>-LMS performs better than the existing methods,combining with data reusing when the training sequence is certain short. |
| format | Article |
| id | doaj-art-3ac84fa20c4f409b971c4cfa9d3f57ee |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2012-11-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-3ac84fa20c4f409b971c4cfa9d3f57ee2025-01-14T06:34:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2012-11-013325025559670337Sparse channel estimation for OFDM system weighted l<sub>p</sub> normJian-bin FUHua PENGZheng DONGThe new lp norm was introduced to substitute the l<sub>0</sub> and l<sub>1</sub> norm,as they met some problems when used to estimate sparse channel in LMS algorithm.By analyzing the l<sub>p</sub> norm,the optimal value of p was obtained,it was 1/2.Then a most sparse solution could be gotten for channel estimation.And it both saved the cost for training sequence and solved the lack of data size by using data reusing method.Simulation results show that the l<sub>p</sub>-LMS performs better than the existing methods,combining with data reusing when the training sequence is certain short.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.036/LMS algorithmsparse channeldata reusing |
| spellingShingle | Jian-bin FU Hua PENG Zheng DONG Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm Tongxin xuebao LMS algorithm sparse channel data reusing |
| title | Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm |
| title_full | Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm |
| title_fullStr | Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm |
| title_full_unstemmed | Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm |
| title_short | Sparse channel estimation for OFDM system weighted l<sub>p</sub> norm |
| title_sort | sparse channel estimation for ofdm system weighted l sub p sub norm |
| topic | LMS algorithm sparse channel data reusing |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2012.z2.036/ |
| work_keys_str_mv | AT jianbinfu sparsechannelestimationforofdmsystemweightedlsubpsubnorm AT huapeng sparsechannelestimationforofdmsystemweightedlsubpsubnorm AT zhengdong sparsechannelestimationforofdmsystemweightedlsubpsubnorm |