Robust Shrinkage Affine-Projection Sign Adaptive-Filtering Algorithms for Impulsive Noise Environments

Two robust affine projection sign (RAPS) algorithms, both of which minimize the mixed norm of l1 and l2 of the error signal, are proposed. The direction vector of the RAPS algorithms is obtained from the gradient of an l1 norm-based objective function, while two related l2 norm-based minimization pr...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on signal processing 2014-07, Vol.62 (13), p.3349-3359
Main Authors: Bhotto, Md Zulfiquar Ali, Ahmad, M. Omair, Swamy, M. N. S.
Format: Article
Language:English
Subjects:
Adaptive filtering algorithms
affine-projection algorithms
Algorithm design and analysis
Algorithms
Applied sciences
Computer simulation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Mathematical analysis
Noise
Prediction algorithms
Projection
Reduction
Robustness
Searching
set-membership adaptive filters
Signal and communications theory
Signal processing algorithms
Signal, noise
Steady-state
Telecommunications and information theory
Vectors
Vectors (mathematics)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Two robust affine projection sign (RAPS) algorithms, both of which minimize the mixed norm of l1 and l2 of the error signal, are proposed. The direction vector of the RAPS algorithms is obtained from the gradient of an l1 norm-based objective function, while two related l2 norm-based minimization problems are solved to obtain the line search of the two RAPS algorithms. The l1 norm-based direction vector reduces the impact of impulsive noise, whereas the l2 norm-based line search produces an unbiased solution in the proposed algorithms. In addition, one of the two RAPS algorithms shares the data selective adaptation used in the set-membership (SM) affine projection (SMAP) algorithm. The proposed algorithms are shown to offer a significant improvement in the convergence speed as well as a significant reduction in the steady-state misalignment relative to the pseudo affine projection sign (PAPS) algorithm. In addition, the proposed algorithms offer robust performance with respect to impulsive noise and improved tracking of the unknown system in comparison to that provided by the PAPS and Affine projection sign (APS) algorithms. These features of the proposed algorithms are demonstrated using simulation results in system-identification and echo-cancellation applications.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2324997