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Diffusion Sign Subband Adaptive Filtering Algorithm with Enlarged Cooperation and Its Variant

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Abstract

The recently proposed diffusion sign subband adaptive filtering (DSSAF) algorithm is more robust than most of mean-square error minimization criterion-based diffusion distributed estimation algorithms in an impulsive interference environment. To enhance its convergence rate and steady-state misalignment, this paper proposes a DSSAF algorithm with enlarged cooperation (DSSAF-EC). The DSSAF-EC algorithm exchanges not only the weight information but also measurements within individual neighborhoods. Moreover, a variant of the DSSAF-EC algorithm, called the proportionate DSSAF-EC (PDSSAF-EC) algorithm, is presented. It incorporates an adaptive gain matrix into the DSSAF-EC algorithm to proportionately adapt the weight vectors of agents. Simulation results verify that both the DSSAF-EC and PDSSAF-EC algorithms are robust against impulsive interference and that the PDSSAF-EC algorithm can obtain faster convergence rate than the DSSAF-EC algorithm in estimating a sparse unknown weight vector.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grants 61471251 and 61101217 and in part by the Natural Science Foundation of Jiangsu Province under Grant BK20131164.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Soochow University, Suzhou, 215006, China

    Juan Shi & Jingen Ni

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  1. Juan Shi
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  2. Jingen Ni
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Correspondence to Jingen Ni.

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Shi, J., Ni, J. Diffusion Sign Subband Adaptive Filtering Algorithm with Enlarged Cooperation and Its Variant. Circuits Syst Signal Process 36, 1714–1724 (2017). https://doi.org/10.1007/s00034-016-0371-y

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  • DOI: https://doi.org/10.1007/s00034-016-0371-y

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