Relative path virtual sensing method for single-channel feedback active noise control system

Abstract

The invention discloses a relative path virtual sensing method for a single-channel feedback active noise control system, and belongs to the technical field of active noise control. The method comprises a training step and a control step. In the training step, a virtual microphone is temporarily placed at an expected noise reduction position, a physical microphone is placed at a position far away from an active quiet zone, and a transfer model between the physical microphone and the virtual microphone is established and trained, wherein the transfer model comprises a relative primary path model and a relative secondary path model, and is used for acquiring pulse response functions of a relative primary path model and a relative secondary path model; and in the control step, under the condition that the target active quiet zone is not placed in the error microphone, an adaptive control filter performs iterative updating of weight coefficients based on real-time output of the physical microphone and the pulse response functions of the relative primary path model and the relative secondary path model until the active quiet zone is formed at the target virtual position. The problem that a noise source cannot be positioned can be avoided, and model errors can be reduced.

Description

technical field [0001] The invention belongs to the technical field of active noise control, and in particular relates to a relative path virtual sensing technology for a single-channel feedback active noise control system. Background technique [0002] Traditional noise control belongs to passive noise control (passive noise control, PNC). The main technical means include sound absorption treatment, sound insulation treatment, muffler, etc. Its noise control mechanism is to make noise sound waves interact with acoustic materials or structures to To achieve the purpose of reducing noise. PNCs have limitations in cost, difficulty of deployment, and effectiveness when the noisy signal is a low frequency signal. Therefore, the proposal and development of Active Noise Control (ANC) has filled this part of the gap, and has developed into the main research direction in noise control in recent years. [0003] ANC is a technology that utilizes the superposition property of sound w...

AI Technical Summary

Problems solved by technology

When the sound field environment changes and the virtual secondary path changes, since the path cannot be modeled online at the position where the error microphone cannot be placed, the impulse response function of the virtual secondary path model will deviate from the real path, resulting in the system The model error is introduced into the system, which affects the noise reduction effect of the system

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