Active noise control techniques for nonlinear systems
This is an incremental review for researchers in signal processing and noise control, summarizing existing methods without introducing new results.
The paper reviews the development of nonlinear active noise control (NLANC) algorithms over the last decade to address performance degradation in nonlinear systems, highlighting advances like spline ANC, kernel adaptive filters, and nonlinear distributed ANC.
Most of the literature focuses on the development of the linear active noise control (ANC) techniques. However, ANC systems might have to deal with some nonlinear components and the performance of linear ANC techniques may degrade in this scenario. To overcome this limitation, nonlinear ANC (NLANC) algorithms were developed. In Part II, we review the development of NLANC algorithms during the last decade. The contributions of heuristic ANC algorithms are outlined. Moreover, we emphasize recent advances of NLANC algorithms, such as spline ANC algorithms, kernel adaptive filters, and nonlinear distributed ANC algorithms. Then, we present recent applications of ANC technique including linear and nonlinear perspectives. Future research challenges regarding ANC techniques are also discussed.