Low-Frequency Active Noise Control System Based on Feedback FXLMS

Abstract

The rise of industrial machinery and military training activities has significantly contributed to low-frequency noise pollution, which can penetrate traditional passive noise isolation methods and pose serious health risks, including irreversible hearing damage. To address this challenge, this study proposes a hybrid active noise control (HANC) system, integrating an adaptive active noise control (AANC) module based on the filtered-x least mean squares (FxLMS) algorithm and an audio-balance control circuit (ABCC). The AANC system actively generates anti-noise signals to mitigate low-frequency disturbances, while the ABCC module enhances voice clarity and protects users from excessive impulse noise. MATLAB R2023b simulations and hardware implementations validate the system’s effectiveness, achieving a noise reduction of up to 21.8 dB in controlled environments. Additionally, the proposed feedback active noise control architecture ensures robust performance under dynamic noise conditions, improving stability and response time. By integrating both software-based adaptive filtering and hardware circuit design, this study provides a comprehensive noise mitigation solution with potential applications in military, industrial, and vehicular environments.