Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery
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| Název: | Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery |
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| Autoři: | Jie Li, Fangjiong Chen, Songzuo Liu, Hua Yu, Fei Ji |
| Zdroj: | Sensors, Vol 19, Iss 22, p 4976 (2019) |
| Informace o vydavateli: | MDPI AG |
| Rok vydání: | 2019 |
| Sbírka: | Directory of Open Access Journals: DOAJ Articles |
| Témata: | underwater acoustic channels, doubly spread, delay-doppler-spread function, low-rank matrix recovery, Chemical technology, TP1-1185 |
| Popis: | In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function representation of channel, and is formulated as a low-rank matrix recovery problem which can be solved by the singular value projection technique. Simulation examples are carried out to demonstrate the effectiveness of the proposed low-rank-based channel estimator. |
| Druh dokumentu: | article in journal/newspaper |
| Jazyk: | English |
| Relation: | https://www.mdpi.com/1424-8220/19/22/4976; https://doaj.org/toc/1424-8220; https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0 |
| DOI: | 10.3390/s19224976 |
| Dostupnost: | https://doi.org/10.3390/s19224976 https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0 |
| Přístupové číslo: | edsbas.A7DDB32B |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | In this paper, the estimation of overspread, i.e., doubly spread underwater acoustic (UWA) channels of strong dispersion is considered. We show that although the UWA channel dispersion causes the degeneration of channel sparsity, it leads to a low-rank structure especially when the channel delay-Doppler-spread function is separable in delay and Doppler domain. Therefore, we introduce the low-rank criterion to estimate the UWA channels, which can help to improve the estimation performance in the case of strong dispersion. The estimator is based on the discrete delay-Doppler-spread function representation of channel, and is formulated as a low-rank matrix recovery problem which can be solved by the singular value projection technique. Simulation examples are carried out to demonstrate the effectiveness of the proposed low-rank-based channel estimator. |
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| DOI: | 10.3390/s19224976 |