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Volume 42 Issue 2
Feb.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(2): 413-420.
LIU Chunhui, QI Yue, DING Wenrui, et al. Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137(in Chinese)
Citation: LIU Chunhui, QI Yue, DING Wenrui, et al. Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 413-420. doi: 10.13700/j.bh.1001-5965.2015.0137(in Chinese)
shu

Fractional tap-length algorithm for adaptive filters under maximum correntropy criterion

doi: 10.13700/j.bh.1001-5965.2015.0137
  • 1.

    Research Institute of Unmanned Aerial Vehicle, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • 2. School of Computer Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 10008

  • 3. School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

  • Received Date: 12 Mar 2015
  • Publish Date: 20 Feb 2016
    Abstract
  • Accurate estimation of the optimum tap-length for the adaptive filter provides a good balance between the steady-state performance and the complexity of the adaptive algorithm. The convergence performance of the variable tap-length least mean square (LMS) adaptive filters under the minimum mean square error (MMSE) criterion deteriorates in the non-Gaussian noise environment. A fractional tap-length (FT) algorithm for the maximum correntropy criterion (MCC) adaptive filters, named FT-MCC algorithm, is proposed to solve the above problem. The proposed algorithm is based on the concept of the optimum tap-length for the MCC adaptive filters. The difference of the correntropy between adaptive filters with different tap-lengths is used to achieve the tap-length update. Both theoretical analysis and simulation result show that the proposed algorithm has strong robustness in non-Gaussian noise environment compared with other variable tap-length LMS algorithm and the optimum tap-length can be well estimated with proper parameter selection.

     

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