Identification of the Model of Acoustic Feedback Path in Active Noise Control

摘要

Active noise control is used to deal with noise pollution in many fields, and it reduces the noise intensity by generating an antisound which has the same amplitude and opposite phase to the original noise. However, the antisound is a secondary sound source compared to the original noise, and it influences the performances of the active noise control. The sound sensor detects original noise and the antisound simultaneously, in order to cancel the influence of the antisound, this paper proposes a method to identify the model of the acoustic feedback path between the secondary sound source and the sound error sensor. This paper uses a finite impulse response filter to express the model of the above acoustic feedback path. It designs an offline experiment without original noise to identify the model individually. In the experiment, it generates white noise as the antisound and uses recursive least squares algorithm to identify the parameters of the model. It deduces the formula of the identification and analyzes the results of the experiment. The experiment results show that the proposed method model the acoustic feedback model accurately.