Design and hardware realization of active noise control system based on momentum LMS algorithm

In order to improve the convergence speed of the active noise control (ANC) system in practice. This paper proposes a new module for the realization of ANC system for online secondary path modeling. The momentum LMS algorithm (MLMS) is used to adjust the modeling filter and control the filter. The design includes three convolution modules and two weight update modules to reduce noise. When it is necessary to better reduce the noise of the ANC system, this innovative modular implementation of the ANC system can achieve rapid design and rapid convergence, and has the ability to expand four adaptive filters and data buses. The system demonstrates convincing results with accuracy, convergence speed, and the functions of the designed and implemented system. At the same time, using FPGA's features of low power consumption and high-speed parallel processing to design the system, the final modeling error and noise reduction performance are -25dB and 15dB, respectively.