Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread
Efficient estimation of underwater acoustic channels with a large time ay spread was addressed. For the conventional channel estimation methods such as LS, this type of channel estimation would produce serious estimation noise in zero-value taps which lead to poor performance of channel estimation....
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-02-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016043/ |
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| _version_ | 1841539557994004480 |
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| author | Yue-hai ZHOU Xiu-ling CAO Dong-sheng CHEN Feng TONG |
| author_facet | Yue-hai ZHOU Xiu-ling CAO Dong-sheng CHEN Feng TONG |
| author_sort | Yue-hai ZHOU |
| collection | DOAJ |
| description | Efficient estimation of underwater acoustic channels with a large time ay spread was addressed. For the conventional channel estimation methods such as LS, this type of channel estimation would produce serious estimation noise in zero-value taps which lead to poor performance of channel estimation. At the same time, a large time delay spread posed significant difficulties such as large channel order and the corresponding huge computation complexity. Compressed sensing (CS)channel estimation algorithm offered a solution to this problem by exploiting the sparsity of channel to improve the estimation performance. However to ensure acceptable estimation performance, a long training sequence was needed, which unfortunately would cause additional overhead. A method was proposed which exploiting the joint correlation of sparse multipath structure between adjacent data blocks to deal with the estimation of long time delay channels under the framework of distributed compressed sensing (DCS).Thus the large time delay underwater acoustic channels can be jointly reconstructed by the simultaneous orthogonal matching t (SOMP)algorithm to fa-cilitate the system overhead reduction and estimation ance improvement. Simulation as well as the sea trial re-sults indicate the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-188c6eb0c7c94a308fd0a8a3ca85965a |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-02-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-188c6eb0c7c94a308fd0a8a3ca85965a2025-01-14T06:54:54ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-02-013716617359699464Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spreadYue-hai ZHOUXiu-ling CAODong-sheng CHENFeng TONGEfficient estimation of underwater acoustic channels with a large time ay spread was addressed. For the conventional channel estimation methods such as LS, this type of channel estimation would produce serious estimation noise in zero-value taps which lead to poor performance of channel estimation. At the same time, a large time delay spread posed significant difficulties such as large channel order and the corresponding huge computation complexity. Compressed sensing (CS)channel estimation algorithm offered a solution to this problem by exploiting the sparsity of channel to improve the estimation performance. However to ensure acceptable estimation performance, a long training sequence was needed, which unfortunately would cause additional overhead. A method was proposed which exploiting the joint correlation of sparse multipath structure between adjacent data blocks to deal with the estimation of long time delay channels under the framework of distributed compressed sensing (DCS).Thus the large time delay underwater acoustic channels can be jointly reconstructed by the simultaneous orthogonal matching t (SOMP)algorithm to fa-cilitate the system overhead reduction and estimation ance improvement. Simulation as well as the sea trial re-sults indicate the effectiveness of the proposed method.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016043/large time delay spreaddistributed compressed sensingsimultaneous orthogonal matching pursuitunder-water acoustic channel estimation |
| spellingShingle | Yue-hai ZHOU Xiu-ling CAO Dong-sheng CHEN Feng TONG Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread Tongxin xuebao large time delay spread distributed compressed sensing simultaneous orthogonal matching pursuit under-water acoustic channel estimation |
| title | Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| title_full | Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| title_fullStr | Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| title_full_unstemmed | Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| title_short | Jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| title_sort | jointing sparse recovery estimation algorithm of underwater acoustic channels with long time delay spread |
| topic | large time delay spread distributed compressed sensing simultaneous orthogonal matching pursuit under-water acoustic channel estimation |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016043/ |
| work_keys_str_mv | AT yuehaizhou jointingsparserecoveryestimationalgorithmofunderwateracousticchannelswithlongtimedelayspread AT xiulingcao jointingsparserecoveryestimationalgorithmofunderwateracousticchannelswithlongtimedelayspread AT dongshengchen jointingsparserecoveryestimationalgorithmofunderwateracousticchannelswithlongtimedelayspread AT fengtong jointingsparserecoveryestimationalgorithmofunderwateracousticchannelswithlongtimedelayspread |