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首页> 外文期刊>Circuits, systems, and signal processing >Two Novel Arctangent Normalized Subband Adaptive Filter Algorithms Against Impulsive Interferences
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Two Novel Arctangent Normalized Subband Adaptive Filter Algorithms Against Impulsive Interferences

机译：两种新型的抗脉冲干扰的反正切归一化子带自适应滤波器算法

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摘要

In this paper, two arctangent-based normalized subband adaptive filter (Arc-NSAF) algorithms are proposed, which are derived from two different forms of arctangent cost function and their difference is the order of the arctangent computation and the summation operation of the normalized subband error signal. Benefiting from the excellent property of the arctangent function for suppressing impulsive interferences, the proposed Arc-NSAF algorithms not only possess good robustness against impulsive interferences, but also obtain faster convergence rate for the colored input signals. To further improve the convergence performance of the Arc-NSAFs when identifying sparse system, the proportionate versions of the Arc-NSAF algorithms are also proposed. Simulation results have demonstrated the superiority of the proposed algorithms in impulsive interferences environments as compared to their respective competitors.
机译：本文提出了两种基于反正切的归一化子带自适应滤波器（Arc-NSAF）算法，它们是从两种不同形式的反正切成本函数推导而来的，它们的区别在于反正切计算的阶数和归一化子带的求和运算错误信号。得益于反正切函数抑制脉冲干扰的优异性能，提出的Arc-NSAF算法不仅具有良好的鲁棒性以抵抗脉冲干扰，而且还为彩色输入信号获得了更快的收敛速度。为了在识别稀疏系统时进一步提高Arc-NSAF的收敛性能，还提出了Arc-NSAF算法的比例版本。仿真结果表明，与各自的竞争对手相比，该算法在脉冲干扰环境中具有优越性。

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