Mean-Square Performance of the Modified Filtered-x Affine Projection Algorithm
Mean-Square Performance of the Modified Filtered-x Affine Projection Algorithm
复制标题
改进的 Filtered-x 仿射投影算法的均方性能
DOI：
10.1007/s00034-020-01365-2
复制
发表时间：
2020-02-11
影响因子：
2.3
通讯作者：
Yang, Jun
中科院分区：
文献类型：
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作者：
Guo, Jianfeng;Yang, Feiran;Yang, Jun
改进的滤波-x仿射投影(MFxAP)算法具有良好的收敛性能和中等的计算量，是一种有效的有源噪声控制算法。在以往的研究中，已经对MFxAP算法的暂态和稳态性能进行了分析，理论和测量结果吻合较好。然而，现有的方法忽略了权值误差向量与过去噪声向量之间的相关性。因此，本文对MFxAP算法进行了更准确的理论分析，综合考虑了过去噪声向量对加权误差向量的影响。仿真结果表明，理论计算结果与实验结果吻合较好，尤其是在稳态时。
The modified filtered-x affine projection (MFxAP) algorithm is effective for active noise control owing to its good convergence behavior and medium computational burden. The transient and steady-state performances of the MFxAP algorithm have been analyzed in previous studies, which presented a relatively good agreement between the theory and measured results. However, the correlation between the weight-error vector and the past noise vectors is disregarded in the existing methods. Hence, a more accurate theoretical analysis for the MFxAP algorithm is presented herein, in which the effect of the past noise vector on the weight-error vector is considered comprehensively. Simulation results indicate that the proposed theoretical results match the experimental results more precisely than the previous studies, in particular, at the steady state.