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<p>This paper proposes a complex variable tap-length (VTL) adaptive filtering algorithm and investigates its performance in non-Gaussian noise environments. Conventional adaptive filtering algorithms, which employ fixed tap-lengths, face inherent limitations in simultaneously achieving satisfactory steady-state performance and convergence behavior. Moreover, non-Gaussian noise presents a challenge for adaptive filtering systems. To address these issues, we construct a novel cost function that incorporates VTL adaptation, demonstrating performance enhancement in non-Gaussian noise environments. Comprehensive simulation results demonstrate the superior effectiveness and robustness of the proposed algorithm.</p>

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A Novel Complex Variable Tap-Length Algorithm with Enhanced Robustness to Non-Gaussian Noise

  • 期刊论文

  • 发表日期：

    2025年10月3日

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  • Yaowei Guo,
  • Dailin Song,
  • Bin Guo,
  • Guobing Qian

摘要

This paper proposes a complex variable tap-length (VTL) adaptive filtering algorithm and investigates its performance in non-Gaussian noise environments. Conventional adaptive filtering algorithms, which employ fixed tap-lengths, face inherent limitations in simultaneously achieving satisfactory steady-state performance and convergence behavior. Moreover, non-Gaussian noise presents a challenge for adaptive filtering systems. To address these issues, we construct a novel cost function that incorporates VTL adaptation, demonstrating performance enhancement in non-Gaussian noise environments. Comprehensive simulation results demonstrate the superior effectiveness and robustness of the proposed algorithm.