Affine projection Weibull M-transform least mean square algorithm against impulsive interference
Affine projection Weibull M-transform least mean square algorithm against impulsive interference
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DOI：
10.1049/cmu2.12249
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发表时间：
2021-07
期刊：
影响因子：
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通讯作者：
Pingchuan Liu;Kuangang Fan;H. Qiu
中科院分区：
文献类型：
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作者：
Pingchuan Liu;Kuangang Fan;H. Qiu
众所周知的仿射投影符号算法是用于去噪和通道均衡的经典自适应滤波方法之一，可以实现针对彩色输入和脉冲噪声的鲁棒性能。本文提出仿射投影威布尔M变换最小均方算法来提高仿射投影算法的稳态性能。该算法将Weibull M变换成本函数与权重向量的L2范数约束相结合，提高了现有仿射投影算法的性能，实现了更好的收敛速度和更好的失准。这种新颖的算法还保留了针对脉冲干扰和彩色输入的良好性能。仿真结果表明，与其他算法相比，该算法收敛性能有显着提高。
The well-known affine projection sign algorithm is one of the classic adaptive filtering methods for denoising and channel equalisation, which can achieve robust performance against coloured input and impulse noise. This work proposes the affine projection Weibull M-transform least mean square algorithm to improve the steady-state performance of affine projection algorithms. The proposed algorithm combines the Weibull M-transform cost function with the L2-norm constraint of weight vector to improve the performance of existing affine projection algorithms and achieve a better convergence rate and better misalignment. This novel algorithm also preserves good performance against impulsive interference and coloured input. Simulation results demonstrated that the proposed algorithm has a remarkable improvement in convergence performance compared with other algorithms.