A TMSBL underwater acoustic channel estimation method based on dictionary learning denoising

The shallow sea underwater acoustic channel exhibits a significant sparse multipath structure. The temporally multiple sparse Bayesian learning (TMSBL) algorithm can effectively estimate this sparse multipath channel. However, the complexity of the algorithm is high, the signal-to-noise ratio (SNR)...

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Autori principali:	Chuanxi Xing, Yanling Ran, Mao Lu, Guangzhi Tan, Qiang Meng
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2024-09-01
Serie:	Frontiers in Marine Science
Soggetti:	underwater acoustic channel estimation temporally multiple sparse Bayesian learning K-SVD dictionary learning underwater sparse channel estimation orthogonal frequency division multiplexing
Accesso online:	https://www.frontiersin.org/articles/10.3389/fmars.2024.1362416/full
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