Filtering parameter self-updating method, filter, equipment and storage medium

Abstract

The invention provides a filtering parameter self-updating method, a filter, equipment and a storage medium, which are applied to an affine projection filter in an active noise reduction system with an error microphone, the projection order of the filter is updated based on the energy of an offset error, and the offset error is the difference between an error signal and system noise; the step length is updated based on the energy of the offset error and the energy of the error signal; when the active noise reduction system starts to work, the estimated offset error energy is very large, at themoment, the projection order is updated to be maximum, the step length is updated to be close to the step length maximum value under the projection order, the convergence speed is increased, and thesystem stability is guaranteed; and when the estimated maladjustment error energy is very small, the projection order is updated to the minimum, and the step length is updated to be close to the minimum step length value under the projection order, so that the steady-state error is smaller. According to the invention, the projection order is dynamically adjusted, and the calculated amount is small.

Description

technical field [0001] The invention relates to the technical field of filters, in particular to a filter parameter self-updating method, filter, device and storage medium. Background technique [0002] When the structure design of ANC (Active Noise Cancellation, Active Noise Control) earphones is not optimal, the impulse response of the primary channel and the secondary channel will be very long, or when the interference noise frequency band is wide, the ANC earphones will converge slowly. , the noise reduction range is low. At present, there are some improved methods based on FXLMS, such as FXNLMS, FXRLS and other algorithms, and some methods of transform domain, such as frequency domain ANC, sub-band ANC, etc. [0003] Among the existing ANC algorithms, improved algorithms based on FXLMS, such as FXNLMS, VSS-FXNLMS and other algorithms, have faster convergence speed than FXLMS. Although the amount of calculation does not increase much, the effect is limited. The design ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a filter parameter self-updating method, filter, equipment and storage medium, aiming at overcoming the defects of fast convergence speed, small steady-state error and small amount of calculation at the same time.

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