A Multi-Channel Feedforward ANC with FXLMS Algorithm for Aviation-Noise Suppression

Abstract

This paper presents a novel multi-channel feedforward Active Noise Control (ANC) system using Filter-x Lease Mean Square (FXLMS) algorithm for reducing classroom-aviation noises. Such a system will be simulated in MATLAB for a demonstrative classroom in KMITL University, Bangkok, Thailand. This circumstance becomes an interesting issue since the aforementioned classroom is located right next to one of the Asia Pacific's largest international airport namely Bangkok Suvarnabhumi International Airport. An aviation noise problem occurs when aircrafts taking off and landing. The main idea of this research is trying to lower the level of the aviation noises which occurred in the classroom. A novel multichannel feedforward ANC system has been brought into account here. The FXLMS algorithm is used for updating the ANC controller coefficient in order to achieve the optimal weight vector resulting in minimal errors. A conceptual design of a proposed ANC and system configurations including all related equations are described. The simulation results will be presented in terms of noise attenuation capabilities and the Mean Square Error (MSE) convergence time. Simulation results presented in this paper will be used for further analysis to improve the system performance of the proposed ANC methodology before implementing in the real classroom.