摘要
由于IIR结构中极点的存在能更精确的描述实际声场 ,在某些有源噪声控制场合 ,自适应IIR控制结构相对于常规的FIR结构具有更大的优势 ,目前所采用的自适应IIR控制算法包括基于直接形式IIR滤波器结构的FULMS和FVLMS算法以及基于格型零极点滤波器结构的LFRLMS算法 .对格型零极点滤波器的稳定性及迭代参数的选取方法做了分析 ,并对几种算法在有源噪声控制中的应用效果加以比较 .实验的结果表明 ,在有源噪声控制中常见的声场建模阶数远远不足的条件下 ,LFRLMS算法具有相对良好的稳定性及收敛速度 ,特别是在对功率谱离散度较大并含有较多窄带成分的噪声信号进行控制的时候 .
In some situations of active noise control,IIR filters are more suitable than FIR filters because the poles in the transfer function can give a more accurate description of a real sound field.The current adaptive IIR filtering algorithms for active noise control include FULMS and FVLMS algorithms based on the direct form IIR filter and the LFRLMS algorithm based on IIR lattice filter structure.This paper gives the analysis of stability and restriction of stepsize parameters for the LFRLMS algorithm,and conducts acomparison among these adaptive IIR filtering algorithms applied to active noise control.The simulation results demonstrate that under severely undermodelled circumstances for active noise control,the LFRLMS algorithm gives comparatively better stability and faster convergence speed,especially for noise composed of narrow band components with large power disparity.
出处
《南京大学学报（自然科学版）》
CAS
CSCD
北大核心
2004年第4期438-445,共8页
Journal of Nanjing University（Natural Science）
基金
国家自然科学基金项目 (6 0 2 72 0 37
6 0 340 4 2 0 32 5 )
