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

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

Internet

http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/88932

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