Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system
Multiple-input multiple-output non-contiguous orthogonal frequency division multiplexing（MIMO NC-OFDM）system is a commonly used system in cognitive radio. One of the key technical that affects the MIMO NC-OFDM performance is channel estimation in the condition of non-continuous carrier caused by lic...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2016-02-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.006/ |
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| _version_ | 1841529821309435904 |
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| author | Enqing CHEN Xinli GAO Xiaoqiang XIANG Zhongyong WANG |
| author_facet | Enqing CHEN Xinli GAO Xiaoqiang XIANG Zhongyong WANG |
| author_sort | Enqing CHEN |
| collection | DOAJ |
| description | Multiple-input multiple-output non-contiguous orthogonal frequency division multiplexing（MIMO NC-OFDM）system is a commonly used system in cognitive radio. One of the key technical that affects the MIMO NC-OFDM performance is channel estimation in the condition of non-continuous carrier caused by licensed users’ occupation. Sparsity adaptive matching pursuit（SAMP）algorithm was proposed as a new method to estimate sparse channel in MIMO NC-OFDM system. Compared with other state-of-the-art greedy algorithms，the most innovative feature of the SAMP is that it is capable to adjust the step length adaptively to approach the original signal and reconstruct the sparse signal without prior information of the sparsity. Simulation result shows that，the new channel estimation method outperforms many existing iterative algorithms in reconstruction performance and can be implemented easily in practical application. |
| format | Article |
| id | doaj-art-be7acd3470a44359ac001191f36f6709 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2016-02-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-be7acd3470a44359ac001191f36f67092025-01-15T03:15:17ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012016-02-0132414659610091Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM systemEnqing CHENXinli GAOXiaoqiang XIANGZhongyong WANGMultiple-input multiple-output non-contiguous orthogonal frequency division multiplexing（MIMO NC-OFDM）system is a commonly used system in cognitive radio. One of the key technical that affects the MIMO NC-OFDM performance is channel estimation in the condition of non-continuous carrier caused by licensed users’ occupation. Sparsity adaptive matching pursuit（SAMP）algorithm was proposed as a new method to estimate sparse channel in MIMO NC-OFDM system. Compared with other state-of-the-art greedy algorithms，the most innovative feature of the SAMP is that it is capable to adjust the step length adaptively to approach the original signal and reconstruct the sparse signal without prior information of the sparsity. Simulation result shows that，the new channel estimation method outperforms many existing iterative algorithms in reconstruction performance and can be implemented easily in practical application.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.006/multiple-input multiple-output non-contiguous orthogonal frequency division multiplexingcognitive radiocompressed sensingchannel estimationsparsity adaptive matching pursuit |
| spellingShingle | Enqing CHEN Xinli GAO Xiaoqiang XIANG Zhongyong WANG Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system Dianxin kexue multiple-input multiple-output non-contiguous orthogonal frequency division multiplexing cognitive radio compressed sensing channel estimation sparsity adaptive matching pursuit |
| title | Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system |
| title_full | Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system |
| title_fullStr | Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system |
| title_full_unstemmed | Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system |
| title_short | Sparse channel estimation algorithm based on compressed sensing in MIMO NC-OFDM system |
| title_sort | sparse channel estimation algorithm based on compressed sensing in mimo nc ofdm system |
| topic | multiple-input multiple-output non-contiguous orthogonal frequency division multiplexing cognitive radio compressed sensing channel estimation sparsity adaptive matching pursuit |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2016.02.006/ |
| work_keys_str_mv | AT enqingchen sparsechannelestimationalgorithmbasedoncompressedsensinginmimoncofdmsystem AT xinligao sparsechannelestimationalgorithmbasedoncompressedsensinginmimoncofdmsystem AT xiaoqiangxiang sparsechannelestimationalgorithmbasedoncompressedsensinginmimoncofdmsystem AT zhongyongwang sparsechannelestimationalgorithmbasedoncompressedsensinginmimoncofdmsystem |