Authors:
Seung Hun Kim
;
Jae Jin Jeong
;
Gyogwon Koo
and
Sang Woo Kim
Affiliation:
POSTECH, Korea, Republic of
Keyword(s):
Adaptive Filter, Impulsive Noise, Variable Step-size, Affine Projection Sign Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Informatics in Control, Automation and Robotics
;
Optimization Problems in Signal Processing
;
Signal Processing, Sensors, Systems Modeling and Control
;
System Identification
Abstract:
A novel robust affine projection algorithm (APA) is proposed, which selectively shrinks error components
in an error vector according to their individual possibilities of being interrupted by the impulsive noise. In
existing robust APAs, if there exists only one error component interrupted by the impulsive noise, all error
components of an error vector are shrunk using common step sizes which are inversely proportional to the
norm of the error vector. This improper scaling results in performance degradation with a high impulsive
noise probability and projection order. In this paper, we derive a modified minimization criterion considering
the individual possibilities of error components from a geometric interpretation. For a wide range of impulsive
noise probability and a high projection order, the performance of the proposed algorithm is verified in various
system identification events including an abrupt system change. The proposed algorithm showed the fastest
convergence rate and t
he lowest steady-state mean square deviation compared to the previous robust APAs and
a recent variable step-size affine projection sign algorithm.
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