Abstract
A new family of block-sparse proportionate affine projection algorithms (BS-PAPA) is proposed to improve the performance for block-sparse systems. This is motivated by the recent block-sparse proportionate normalized least mean square (BS-PNLMS) algorithm. It is demonstrated that the affine projection algorithm (APA), proportionate APA, (PAPA), BS-PNLMS and PNLMS are all special cases of the proposed BS-PAPA algorithm. Meanwhile, an efficient implementation of the proposed BS-PAPA and block-sparse memory PAPA (BS-MPAPA) are also presented to reduce computational complexity. Simulation results demonstrate that the proposed BS-PAPA and BS-MPAPA algorithms outperform the APA, PAPA and MPAPA algorithms for block-sparse system identification in terms of both faster convergence speed and better tracking ability.
Recommended Citation
J. Liu and S. L. Grant, "Proportionate Affine Projection Algorithms for Block-sparse System Identification," ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 529 - 533, article no. 7471731, Institute of Electrical and Electronics Engineers, May 2016.
The definitive version is available at https://doi.org/10.1109/ICASSP.2016.7471731
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
adaptive filter; block-sparse system identification; Proportionate affine projection algorithm
International Standard Book Number (ISBN)
978-147999988-0
International Standard Serial Number (ISSN)
1520-6149
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
18 May 2016