Adaptive RSOV filter using the FELMS algorithm for nonlinear active noise control systems

作者：Zhao Haiquan; Zeng Xiangping; He Zhengyou; Li Tianrui

来源：Mechanical Systems and Signal Processing, 2013, 34(1-2): 378-392.

DOI：10.1016/j.ymssp.2012.06.020

• Nonlinear active noise control systems
• Adaptive recursive second-order Volterra filter
• Adaptive bilinear filter
• Adaptive Volterra filter

This paper presents a recursive second-order Volterra (RSOV) filter to solve the problems of signal saturation and other nonlinear distortions that occur in nonlinear active noise control systems (NANC) used for actual applications. Since this nonlinear filter based on an infinite impulse response (IIR) filter structure can model higher than second-order and third-order nonlinearities for systems where the nonlinearities are harmonically related, the RSOV filter is more effective in NANC systems with either a linear secondary path (LSP) or a nonlinear secondary path (NSP). Simulation results clearly show that the RSOV adaptive filter using the multichannel structure filtered-error least mean square (FELMS) algorithm can further greatly reduce the computational burdens and is more suitable to eliminate nonlinear distortions in NANC systems than a SOV filter, a bilinear filter and a third-order Volterra (TOV) filter.

• 出版日期2013-1
• 单位成都信息工程大学; 西南交通大学