NDLI: Sparse channel estimation in OFDM systems using improved smooth L0 algorithm

Content Provider	IEEE Xplore Digital Library
Author	Quan, Xi Jing, Xiaojun Sun, Songlin Huang, Hai Wang, Lusha
Copyright Year	2014
Description	Author affiliation: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, China (Quan, Xi; Jing, Xiaojun; Sun, Songlin; Huang, Hai; Wang, Lusha)
Abstract	The channel response of data communication over orthogonal frequency division multiplexing (OFDM) systems is often required to be known at the receiver. Recently, many wireless multipath channels have been verified to exhibit sparse structures. To exploit the inherent sparsity, many channel estimation methods based on compressive sensing are proposed. In this paper, we introduce a channel estimation strategy using improved smooth L0 (SL0) algorithm. Instead of zero-mean Gaussian function which is the smooth function in smooth L0 algorithm, we utilize the hyperbolic tangent function as the smooth function to get better approximation of L0 norm, then the quasi-newton method is used to recover the signal. Numerical simulations results illustrate the performance gains achieved by the improved method.
Starting Page	346
Ending Page	350
File Size	557691
Page Count	5
File Format	PDF
ISBN	9781479944163
DOI	10.1109/ISCIT.2014.7011929
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Smooth L0 Algorithm OFDM Sparse Channel Estimation Channel estimation Matching pursuit algorithms Signal processing algorithms Estimation Compressed Sensing Approximation algorithms Compressed sensing
Content Type	Text
Resource Type	Article

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