On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems
On use of averaging in FxLMS algorithm for single-channel feedforward ANC systems
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DOI：
10.1109/iscas.2003.1205856
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发表时间：
2003-05
期刊：
影响因子：
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通讯作者：
M. Akhtar;M. Abe;M. Kawamata
中科院分区：
文献类型：
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作者：
M. Akhtar;M. Abe;M. Kawamata
本文提出了一种有源噪声控制（ANC）算法.该算法基于自适应滤波平均（AFA），并使用与FxLMS ANC系统类似的结构。所提出的算法，我们称之为FxAFA算法，使用数据和校正项的平均值来找到ANC控制器的抽头权重的更新值。对单通道前馈ANC系统进行了计算机仿真。结果表明，该算法给出快速收敛相比，FxLMS算法，宽带和窄带噪声信号。与FxRLS算法的比较表明，FxAFA算法计算复杂度低，性能稳定，是一种较好的选择。
In this paper an active noise control (ANC) algorithm is proposed. This algorithm is based on adaptive filtering with averaging (AFA) and uses a similar structure as that of the FxLMS ANC system. The proposed algorithm, which we call FxAFA algorithm, uses averages of both data and correction terms to find the updated values of the tap weights of the ANC controller. The computer simulations are conducted for single-channel feedforward ANC systems. It is shown that the proposed algorithm gives fast convergence as compared with the FxLMS algorithm, for both broadband and narrowband noise signals. The comparison with the FxRLS algorithm shows that the proposed FxAFA algorithm is a better choice for low computational complexity and stable performance.