A robust affine projection sign algorithm against the high power of measurement noises

Summary This paper proposes a novel robust affine projection sign algorithm (R‐APSA) through a modified criterion that consists of the Euclidean norm of the sum of the difference between the present weight vector and the previous weight vectors. Because the filter update equation of the proposed R‐A...

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Bibliographic Details
Published in:International journal of communication systems 2017-05, Vol.30 (7), p.np-n/a
Main Authors: Yoo, JinWoo, Shin, JaeWook, Song, Insun, Park, P.
Format: Article
Language:English
Subjects:
adaptive filter
affine projection sign algorithm (APSA)
Algorithms
Criteria
impulsive noise
Mathematical analysis
measurement noise
Noise
Noise measurement
Norms
Projection
robust
Robustness
steady‐state error
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Summary:Summary This paper proposes a novel robust affine projection sign algorithm (R‐APSA) through a modified criterion that consists of the Euclidean norm of the sum of the difference between the present weight vector and the previous weight vectors. Because the filter update equation of the proposed R‐APSA is obtained from the modified criterion, it has robustness against the high power of measurement noises. Moreover, due to the characteristic inherent in the original APSA, the proposed R‐APSA performs well even though impulsive noises occur. Simulation results verify that the proposed R‐APSA attains smaller steady‐state errors than the existing released algorithms. Copyright © 2016 John Wiley & Sons, Ltd. Proposed is a novel robust affine projection sign algorithm (R‐APSA) through a modified criterion that consists of the Euclidean norm of the sum of the difference between the present weight vector and the previous weight vectors. Because the update equation of the proposed R‐APSA is obtained from the modified criterion, it has robustness against the high power of measurement noises. Because of the characteristic inherent in the original APSA, the proposed R‐APSA performs well even though impulsive noises occur.
ISSN:1074-5351
1099-1131
DOI:10.1002/dac.3152