Noise active control method and system based on improved FxLMS algorithm

An active control and noise technology, applied in the direction of sound-producing equipment, instruments, etc., can solve problems such as improving algorithms, restricting noise control performance, etc., to achieve the effect of controlling noise amplitude, improving acoustic environment level, and fast convergence speed

Pending Publication Date: 2022-08-02
QILU UNIV OF TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In short, the current improvement of the FxLMS algorithm is mostly focused on the development of the VSSFxLMS algorithm, without improving the algorithm from the perspective of the source signal, which restricts the further improvement of noise control performance

Method used

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  • Noise active control method and system based on improved FxLMS algorithm
  • Noise active control method and system based on improved FxLMS algorithm
  • Noise active control method and system based on improved FxLMS algorithm

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Embodiment 1

[0044] The first embodiment of the present disclosure introduces a noise active control method based on the improved FxLMS algorithm.

[0045] like figure 1 and figure 2 A noise active control method based on the improved FxLMS algorithm is shown, including the following steps:

[0046] Step S01: constructing an interpolation formula between adjacent noise source signals and setting the number of interpolations;

[0047] Step S02: establishing a filter weight update formula that is performed synchronously with the signal interpolation, and the weight update is used to calculate the secondary sound source;

[0048] Step S03: establishing a secondary sound source calculation formula executed synchronously with the signal interpolation, the secondary sound source calculation is used to cancel the noise source signal, and further realize the active control of noise;

[0049] Step S04: establishing an error calculation formula executed asynchronously with the signal interpolati...

Embodiment 2

[0076] The second embodiment of the present disclosure introduces a noise active control system based on the improved FxLMS algorithm.

[0077] like Figure 5 A noise active control system based on an improved FxLMS algorithm is shown, including:

[0078] an acquisition module, configured to acquire noise source signal data, and to construct signal interpolation between adjacent noise source signals based on the acquired noise source data;

[0079] a calculation module configured to calculate an error performed asynchronously to the signal interpolation;

[0080] The control module is configured to combine the obtained error and the normalized variable step size to control the noise learning step size to realize active control of the noise.

[0081] The detailed steps are the same as the noise active control method based on the improved FxLMS algorithm provided in the first embodiment, and are not repeated here.

Embodiment 3

[0083] The third embodiment of the present disclosure provides a computer-readable storage medium.

[0084] A computer-readable storage medium stores a program thereon, and when the program is executed by a processor, implements the steps in the noise active control method based on the improved FxLMS algorithm according to the first embodiment of the present disclosure.

[0085] The detailed steps are the same as the noise active control method based on the improved FxLMS algorithm provided in the first embodiment, and are not repeated here.

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Abstract

The invention belongs to the technical field of noise active control, and provides a noise active control method and system based on an improved FxLMS algorithm, and the method comprises the steps: obtaining noise source signal data; constructing a signal interpolation between adjacent noise source signals based on the acquired noise source data; calculating an error of asynchronous execution with the signal interpolation; and combining the obtained error and the normalized variable step size to control the noise learning step size so as to realize active control of the noise. According to the method, the FxLMS algorithm is improved in a mode of combining signal interpolation and normalized variable step length, the convergence speed is high, the robustness is high, and the noise reduction effect is improved.

Description

technical field [0001] The present disclosure belongs to the technical field of active noise control, and in particular relates to a method and system for active noise control based on an improved FxLMS algorithm. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and do not necessarily constitute prior art. [0003] Noise pollution involves many fields such as industry, construction, social life and transportation. In recent years, with the continuous growth of fluid machinery applications such as fans, pumps, and compressors, noise pollution has become increasingly prominent. The existence of noise not only deteriorates the working and living environment, but also affects the safety and stability of mechanical equipment operation, and even leads to accidents. Therefore, in order to improve the service performance of the equipment and improve the working and living environment, the noise con...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G10K11/16G10K11/178
CPCG10K11/16G10K11/1781
Inventor 郭畅罗云泽王言聪路志伟张浩哲王希彦
Owner QILU UNIV OF TECH
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