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Improved NSAF Algorithms with Variable Control Parameter Against Impulsive Noises

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Abstract

Some improved normalized subband adaptive filter algorithms derived from nonlinear cost functions, such as the logarithmic function and the arctangent function, have shown splendid robustness against the impulsive noises. However, due to the usage of the constant control parameter in their cost functions, these algorithms need to make a balance between the steady-state error and the convergence rate, especially when the unknown impulse response changes suddenly. For settling this trade-off issue, a way of obtaining the variable control parameter (VCP) recursively is constructed by an exponential function in this paper. In the contexts of system identification and acoustic echo cancellation, simulation results testified the improved performance of these proposed VCP algorithms in terms of the convergence rate, steady-state error, and tracking capability.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant No. 61473239).

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Authors and Affiliations

  1. School of Information Science and Engineering, Chengdu University, Chengdu, China

    Zijie Shen

  2. School of Mathematics, Southwest Jiaotong University, Chengdu, China

    Tianmin Huang

  3. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China

    Li Yang & Xueqin Li

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  1. Zijie Shen
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  2. Tianmin Huang
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  3. Li Yang
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  4. Xueqin Li
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Correspondence to Zijie Shen.

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Shen, Z., Huang, T., Yang, L. et al. Improved NSAF Algorithms with Variable Control Parameter Against Impulsive Noises. Circuits Syst Signal Process 39, 2207–2222 (2020). https://doi.org/10.1007/s00034-019-01245-4

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  • DOI: https://doi.org/10.1007/s00034-019-01245-4

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