Paper Info
Title
A compressed sensing based method with support refinement for impulse noise cancelation in DSL
Abstract
This paper presents a compressed sensing based method to suppress impulse noise in digital subscriber line (DSL). The proposed algorithm exploits the sparse nature of the impulse noise and utilizes the null carriers, already available in all practical DSL systems, for its estimation and cancelation. Specifically, compressed sensing is used for a coarse estimate of the impulse position, an a priori information based maximum aposteriori probability (MAP) metric for its refinement, followed by least squares (LS) or minimum mean square error (MMSE) estimation for estimating the impulse amplitudes. Simulation results show that the proposed scheme achieves higher rate as compared to other known sparse estimation algorithms in literature. The paper also demonstrates the superior performance of the proposed scheme compared to the ITU-T G992.3 standard that utilizes RS-coding for impulse noise refinement in DSL signals.
Year
DOI
Venue
2013
10.1109/SPAWC.2013.6612051
Signal Processing Advances in Wireless Communications
Keywords
Field
DocType
Reed-Solomon codes,compressed sensing,digital subscriber lines,impulse noise,least mean squares methods,maximum likelihood estimation,DSL,ITU-T G992.3 standard,MAP metric,RS-coding,compressed sensing based method,digital subscriber line,impulse noise refinement,impulse noise suppression,impulse position,least square error estimation,minimum mean square error estimation,null carriers utilization,priori information based maximum a-posteriori probability,sparse estimation algorithm,DSL,Impulse noise,compressed sensing,estimation,sparse signal reconstruction
Least squares,Digital subscriber line,Computer science,A priori and a posteriori,Minimum mean square error,Electronic engineering,Impulse (physics),Impulse noise,Amplitude,Compressed sensing
Conference
ISSN
Citations 
PageRank 
1948-3244
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Ahmed A. Quadeer1132.13
Muhammad S. Sohail2143.73
Al-Naffouri, T.Y.316112.05