New Results on Joint Channel and Impulsive Noise Estimation and Tracking in Underwater Acoustic OFDM Systems

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New Results on Joint Channel and Impulsive Noise Estimation and Tracking in Underwater Acoustic OFDM Systems

Impulsive noise can greatly affect the performance of underwater acoustic (UA) orthogonal frequency-division multiplexing (OFDM) systems. In this paper, by utilizing the sparsity of the UA channel impulse response and impulsive noise, we first propose a novel sparse Bayesian learning (SBL) based exp...

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Bibliographic Details
Main Authors:	Wang, S., He, Z., Niu, K., Chen, Jaden, Rong, Yue
Format:	Journal Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2020
Subjects:	Science & Technology Technology Engineering, Electrical & Electronic Telecommunications Engineering Kalman filter impulsive noise OFDM sparse Bayesian learning underwater acoustic communication COMMUNICATION MITIGATION ALGORITHMS
Online Access:	http://purl.org/au-research/grants/arc/DP140102131 http://hdl.handle.net/20.500.11937/88932

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