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
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
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