Paper Info
Title
Comparisons of channel estimation for OFDM-based and wavelet-based underwater acoustic communications.
Abstract
In this paper, a wavelet-based underwater acoustic (UWA) communication system is proposed. The convolutional structure of the UWA channel is exploited and the pilot assisted channel estimation is formulated as a sparse recovery problem. Then the restricted isometry property (RIP) of the measurement matrix is investigated via eigenvalue analysis and Gersgorin circle theorem. It's proved that the sparse recovery of the wavelet-based UWA channel satisfies the RIP. With the above setup, comparisons of channel estimation for OFDM-based and wavelet-based UWA communication systems are deployed. Simulation results show that the wavelet-based system achieves more accurate channel estimation performance than the OFDM-based system under the same conditions of bandwidth, duration, data rate and channel profile. © 2013 IEEE.
Year
DOI
Venue
2013
10.1109/WCNC.2013.6555025
WCNC
Keywords
Field
DocType
communication systems,wavelet,bandwidth,ofdm
Matrix (mathematics),Computer science,Communications system,Algorithm,Communication channel,Speech recognition,Real-time computing,Bandwidth (signal processing),Restricted isometry property,Orthogonal frequency-division multiplexing,Wavelet,Underwater
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
978-1-4673-5937-5
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Chenhao Qi120926.34
Lenan Wu270062.18