Title
OFDM pilot allocation for sparse channel estimation
Abstract
In communication systems, efficient use of the spectrum is an indispensable concern. Recently the use of compressed sensing for the purpose of estimating orthogonal frequency division multiplexing (OFDM) sparse multipath channels has been proposed to decrease the transmitted overhead in form of the pilot subcarriers which are essential for channel estimation. In this article, we investigate the problem of deterministic pilot allocation in OFDM systems. The method is based on minimizing the coherence of the submatrix of the unitary discrete fourier transform (DFT) matrix associated with the pilot subcarriers. Unlike the usual case of equidistant pilot subcarriers, we show that non-uniform patterns based on cyclic difference sets are optimal. In cases where there are no difference sets, we perform a greedy method for finding a suboptimal solution. We also investigate the performance of the recovery methods such as orthogonal matching pursuit (OMP) and iterative method with adaptive thresholding (IMAT) for estimation of the channel taps.
Year
DOI
Venue
2011
10.1186/1687-6180-2012-59
EURASIP J. Adv. Sig. Proc.
Keywords
DocType
Volume
discrete fourier transform,adaptive thresholding,communication system,difference set,information theory,spectrum,orthogonal matching pursuit,iteration method,compressed sensing
Journal
abs/1106.4507
Issue
ISSN
Citations 
1
1687-6180
26
PageRank 
References 
Authors
0.99
6
3
Name
Order
Citations
PageRank
Pooria Pakrooh1445.24
Arash Amini217822.46
Farrokh Marvasti311313.55