A robust subband adaptive filter algorithm for sparse and block-sparse systems identification

This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To furthe...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2021-04, Vol.32 (2), p.487-497
Main Authors: Habibi, Zahra, Zayyani, Hadi, Abadi, Mohammad Shams Esfand
Format: Article
Language:English
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Summary:This paper presents a new subband adaptive filter (SAF) algorithm for system identification scenario under impuls-ive interference, named generalized continuous mixed p-norm SAF (GCMPN-SAF) algorithm. The proposed algorithm uses a GCMPN cost function to combat the impul- sive interference. To further accelerate the convergence rate in the sparse and the block-sparse system identification processes, the proportionate versions of the proposed algorithm, the L0-norm GCMPN-SAF (L0-GCMPN-SAF) and the block-sparse GCMPN-SAF (BS-GCMPN-SAF) algorithms are also developed. Moreover, the convergence analysis of the proposed algorithm is provided. Simulation results show that the proposed algorithms have a better performance than some other state-of-the-art algorithms in the literature with respect to the convergence rate and the tracking capability.
ISSN:1004-4132
1004-4132
DOI:10.23919/JSEE.2021.000041