多通道FURLS噪声主动控制算法及仿真

为了改善最小均方（LMS）类算法在空间宽带噪声主动控制问题中收敛速度慢的缺点，消除声反馈对系统稳定性的影响。将快速收敛的最小二乘（RLS）类算法与自适应滤波U形结构结合，提出多通道滤波-URLS（MFURLS）算法，理论上推导该算法详细流程。本文对定频和宽带噪声进行了降噪仿真，将MFURLS算法与多通道滤波-ULMS（MFULMS）算法进行对比，仿真结果表明采用MFURLS算法的系统有30dB左右的降噪量，且收敛速度优于FULMS算法，证明该算法在宽带噪声控制方面具有很大优势。

Multi-channel FURLS algorithm for active noise control and simulation

In order to improve the slow convergence speed shortcomings of LMS algorithm in active broadband noise con trol in space and eliminate the influence of sound feedback to the stability of the system,this paper combined RLS algo-rithm with adaptive filter U structure,put forward the Multichannel Filtering-URLS （MFURLS） algorithm and offered a detailed process of this algorithm. This paper designed a basic multi channel noise control system,and made control simu-lation with fixed frequency noise and broadband noise,comparing with the multi-channel filtering-ULMS （MFULMS） al-gorithm. The result shows that the MFURLS algorithm system has about 30 dB noise reduction, and the convergence speed is better than the FULMS algorithm. It proves the MFULMS algorithm has great advantage in broadband noise control.