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Method and apparatus for determining a stabilization factor of an adaptive filter

A technology of adaptive filter and stability factor, which is applied in the field of communication, can solve problems such as refusal to converge, failure of adaptive filter to converge speed and steady-state error performance to achieve a good balance, and steady-state error becomes larger.

Active Publication Date: 2017-11-28
浙江杭海新城控股集团有限公司
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Problems solved by technology

If the value of the stability factor of the adaptive filter is large, the convergence speed of the adaptive filter will be reduced, but the steady-state error after convergence will be smaller; if the value of the stability factor of the adaptive filter is small, The convergence speed of the adaptive filter will be faster, but the filter may diverge, or fall into the problem of refusing to converge, resulting in a larger steady-state error
[0004] However, under normal circumstances, a constant is selected empirically as the value of the stability factor of the adaptive filter, which leads to the fact that the adaptive filter cannot achieve a good balance between the convergence speed and the steady-state error performance

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  • Method and apparatus for determining a stabilization factor of an adaptive filter
  • Method and apparatus for determining a stabilization factor of an adaptive filter
  • Method and apparatus for determining a stabilization factor of an adaptive filter

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Embodiment Construction

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0035] figure 1 is a schematic flowchart of a method 100 for determining a stabilization factor of an adaptive filter according to an embodiment of the present invention. figure 1 can be performed by means of determining the stabilization factor of the adaptive filter, such as figure 1 The illustrated method 100 includes:

[0036] 110. Determine a reference input matrix of the first input signal according to the first input signal input to the adaptive fil...

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Abstract

The present invention provides a method and device for determining the stability factor of an adaptive filter, the method comprising: according to the first input signal input to the adaptive filter, determining a reference input matrix of the first input signal; according to the reference input matrix, Determine a stability parameter of the first input signal; determine a stability factor of the adaptive filter according to the stability parameter. The method and device for determining the stability factor of the adaptive filter provided by the embodiments of the present invention determine the adaptive filter by determining the stability parameter of the first input signal based on the reference input matrix of the first input signal of the adaptive filter. The stability factor of the filter can realize the adaptive acquisition of the stability factor of the adaptive filter according to the stability characteristics of the first input signal, so that the adaptive filter can achieve a balance between convergence speed and steady-state error performance.

Description

technical field [0001] Embodiments of the present invention relate to the communication field, and more specifically, relate to a method and a device for determining a stability factor of an adaptive filter. Background technique [0002] With the development of adaptive filtering technology, there are many different adaptive filtering algorithms that can be applied to echo cancellation and noise cancellation. The most common one is the Least Mean Squares (LMS) algorithm, which is relatively simple to implement, but the convergence speed of the adaptive filter is relatively slow. In order to improve the convergence speed of the adaptive filter, a normalized least mean squares (Normalized Least Mean Squares, NLMS) algorithm is proposed. The update step of the adaptive filter of this algorithm will change with the characteristics of the input signal. In order to further improve the convergence speed of the adaptive filter, the Affine Projection Algorithm (APA) algorithm is pro...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03H21/00
CPCH03H21/0043H03H2021/0054H03H2021/0061G06F17/16
Inventor 艾雅·苏谟特刘媛媛李海婷
Owner 浙江杭海新城控股集团有限公司