Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery

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Bibliographic Details
Title: Estimation of Overspread Underwater Acoustic Channel Based on Low-Rank Matrix Recovery
Authors: Jie Li, Fangjiong Chen, Songzuo Liu, Hua Yu, Fei Ji
Source: Sensors, Vol 19, Iss 22, p 4976 (2019)
Publisher Information: MDPI AG
Publication Year: 2019
Collection: Directory of Open Access Journals: DOAJ Articles
Subject Terms: underwater acoustic channels, doubly spread, delay-doppler-spread function, low-rank matrix recovery, Chemical technology, TP1-1185
Description: 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.
Document Type: article in journal/newspaper
Language: 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
Availability: https://doi.org/10.3390/s19224976
https://doaj.org/article/67c7f7b4cf154641b3ab776766e21cd0
Accession Number: edsbas.A7DDB32B
Database: BASE
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