Yegui Xiao, Liying Ma, K. Khorasani, A. Ikuta, Li Xu
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引用次数: 20
Abstract
Rotating machines, such as fans, engines, large-scale cutting machines etc., generate noise signals of a sinusoidal nature. Narrowband active noise control (ANC) systems are effective in suppressing these noise signals. However, when the reference timing signal sensor and the cosine wave generator contain errors, the frequencies of the reference sinusoids fed to each ANC channel are different from the primary noise signal frequencies. This difference is referred to as frequency mismatch (FM). We first introduce a fast filtered-X RLS (FXRLS) algorithm to replace the filtered-X LMS (FXLMS) algorithm in the conventional parallel form narrowband ANC system, and demonstrate its improved performance without FM. Second, through extensive simulations, it is revealed that this FXRLS-based ANC system may suffer from significant performance degradation in the presence of FM. Third, the FXRLS-based system is modified to mitigate the influence of the FM by incorporating second-order AR model based adaptive blocks that are updated by an LMS or RLS algorithm. Simulations are provided to demonstrate that the modified system is robust to the existence of FM and superior to a recently developed FXLMS-based ANC system in terms of capabilities of suppressing the undesirable FM.
旋转的机器,如风扇、发动机、大型切割机等,会产生正弦性质的噪声信号。窄带有源噪声控制系统可以有效地抑制这些噪声信号。然而,当参考定时信号传感器和余弦波发生器包含误差时,馈入每个ANC通道的参考正弦波频率与主噪声信号频率不同。这种差异被称为频率不匹配(FM)。本文首先介绍了一种快速滤波- x RLS (FXRLS)算法,以取代传统的并行形式窄带ANC系统中的滤波- x LMS (FXLMS)算法,并演示了其在无调频情况下的性能改进。其次,通过大量的仿真,揭示了这种基于fxrls的ANC系统在FM存在下可能会遭受显著的性能下降。第三,对基于fxrls的系统进行改进,通过引入基于二阶AR模型的自适应块,通过LMS或RLS算法更新这些自适应块,以减轻FM的影响。仿真结果表明,改进后的系统对频响具有较强的鲁棒性,并且在抑制非期望频响方面优于最近开发的基于fxlms的ANC系统。