Active noise control system based on momentum FxLMS algorithm

Abstract

The invention claims for protecting an active noise control system based on a momentum FxLMS algorithm. The system mainly comprises five modules, namely, a noise signal filtering module (1), a momentum FxLMS algorithm module (2), a secondary channel modeling module (3), a white noise generator module (4) and a main channel path module (5). The invention aims at improving the convergence rate of anANC system. The innovation point is as follows: aiming at the defect that due to the unevenness of noise signal power spectral density, in the indoor noise elimination application of the traditionalFxLMS algorithm, the convergence speed of a control filter is greatly influenced, the invention provides the momentum FxLMS algorithm (a momentum item due to increment of a weight coefficient is increased in the traditional FxLMS algorithm) for updating the weight value of the control filter, so that the accelerating gradient is reduced, and thus the tap coefficient mean-value convergence is faster and more stable. The structure has the advantages that the convergence speed is high, the structure is simple, etc.

Description

technical field [0001] The invention belongs to the technical field of noise elimination, and particularly relates to a research on a secondary channel modeling method in an active noise control system (ANC) for eliminating low-frequency noise based on a momentum FxLMS algorithm. Background technique [0002] In recent years, due to the increase in the number of motor vehicles per capita, the accompanying traffic noise has become more and more serious, especially in some large and medium-sized cities. Acoustic noise has gradually become more and more harmful to people's health and quality of life. . The traditional noise control is mainly based on the acoustic control of noise. The main technical means include sound absorption treatment, sound insulation treatment, the use of mufflers, isolation and reduction of vibration, etc. The mechanism of these noise control methods is to make noise sound waves interact with acoustic materials or structures to consume sound energy, so...

AI Technical Summary

Problems solved by technology

The presence of a secondary path (the path from the output of the noise control filter to the error sensor measuring the residual noise) can cause instability in the standard least mean square (LMS) algorithm, and the secondary path path is time-varying or non-linear , which in turn will lead to a decrease or divergence in the noise reduction performance of the ANC system

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