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A FURLS active noise control algorithm based on least squares method

机译:基于最小二乘法的FURLS有源噪声控制算法

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It will inevitably be affected by noise in any system, how to effectively eliminate and suppress noise is a hot topic for many years. With the development of control system theory and digital signal processing technology, an active noise control method is often used based on active filter, a FURLS control algorithm based on least squares method is proposed in the further research of the least mean square and least square algorithm. FURLS operates under the IIR filter mode and the adjustment of the filter weights adopts recursive least squares RLS. The detailed algorithm derivation and related analysis are given, and the control effect is verified by the simulation results, the selection of a different filter orders has an effect on the control effect, the greater the order, the better of the control results, then compares simulation results between FURLS and FXLMS algorithms, FURLS algorithm has higher convergence speed and better control effect.
机译:任何系统都不可避免地会受到噪声的影响,如何有效地消除和抑制噪声一直是多年来的热门话题。随着控制系统理论和数字信号处理技术的发展,基于有源滤波器的有源噪声控制方法经常被采用,在最小均方和最小二乘算法的进一步研究中提出了一种基于最小二乘法的FURLS控制算法。 。 FURLS在IIR过滤器模式下运行,并且过滤器权重的调整采用递归最小二乘RLS。给出了详细的算法推导和相关分析,并通过仿真结果验证了控制效果,选择不同的滤波器阶数对控制效果有影响,阶数越大,控制效果越好,然后进行比较仿真结果表明,FURLS算法具有较高的收敛速度和较好的控制效果。

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