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相对于有限脉冲响应(FIR)滤波器,无限脉冲响应(ⅡR)滤波器由于其本身自有的零-极点结构,能以较低的阶数即可与系统模型匹配。因此在有源噪声控制(ANC)中,使用ⅡR滤波器可以大大节省计算量并能提高系统效率。自适应滤波U型最小均方差(FULMS)算法是目前常用的基于ⅡR滤波器的有源噪声控制算法,但该算法却不能保证全局收敛,这大大限制了该算法在有源噪声控制中的应用。本文提出一种新的基于ⅡR滤波器的自适应有源噪声控制算法——滤波E型最小均方差算法,该算法计算量相对于FULMS算法仅略有增加,但具有良好的全局收敛性,仿真结果表明该算法具有良好的降噪效果。
Infinite Impulse Response (IIR) filters can be matched to the system model with a lower order of magnitude than their Finite Impulse Response (FIR) counterparts due to their own zero-pole structure. Therefore, in active noise control (ANC), the use of IIR filter can greatly reduce the computational burden and improve system efficiency. Adaptive Filtering U-shaped minimum mean square error (FULMS) algorithm is currently used based on Ⅱ R filter active noise control algorithm, but the algorithm can not guarantee the global convergence, which greatly limits the algorithm in active noise control . In this paper, a new adaptive active noise control algorithm based on IIR filter - the least square error of filter E-type algorithm is proposed. The computational complexity of the algorithm is only slightly increased compared with the FULMS algorithm, but it has good global convergence and simulation The results show that the algorithm has a good noise reduction effect.