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Polynomial Constraint Generalized Maximum Correntropy Normalized Subband Adaptive Filter Algorithm

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Abstract

In this paper, a generalized maximum correntropy normalized subband adaptive filter (GMCNSAF) algorithm is proposed for enhancing the convergence behavior of generalized maximum correntropy criterion algorithm under correlated signals. To promote the convergence behavior of GMCNSAF when identifying the sparse system, the polynomial zero attraction constraint is incorporated into it to yield the PZAGMCNSAF algorithm. Furthermore, to alleviate the conflicting requirements with regard to convergence rate and steady-state misalignment, a variable step-size scheme is applied into the PZAGMCNSAF, obtaining the VSSPZAGMCNSAF algorithm. Also, we analyze the convergence condition of GMCNSAF and give the step-size bound. Simulations prove that the proposed algorithms obtain superior performance for sparse system identification and echo cancelation scenario under impulsive interference as compared to related algorithms.

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Data Availability

The data that support the findings of this study are available from the corresponding author on request.

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Acknowledgements

This work was partially supported by National Natural Science Foundation of China (Grants: 62171388, 61871461, 61571374), Department of Science and Technology of Sichuan Province (Grants: 2019YJ0225, 2020JDTD0009), Fundamental Research Funds for the Central Universities (Grant: 2682021ZTPY091), and the funding of Chengdu Guojia Electrical Engineering Co., Ltd (Grant: NEEC-2019-A02).

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Authors and Affiliations

  1. Key Laboratory of Magnetic Suspension Technology and Maglev Vehicle, Ministry of Education, School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 610031, China

    Dongxu Liu, Haiquan Zhao, Xiaoqiong He & Lijun Zhou

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  1. Dongxu Liu
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  2. Haiquan Zhao
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  3. Xiaoqiong He
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  4. Lijun Zhou
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Correspondence to Haiquan Zhao.

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Liu, D., Zhao, H., He, X. et al. Polynomial Constraint Generalized Maximum Correntropy Normalized Subband Adaptive Filter Algorithm. Circuits Syst Signal Process 41, 2379–2396 (2022). https://doi.org/10.1007/s00034-021-01878-4

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