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Variable regularization deviation compensation symbol sub-band adaptive filter

An adaptive filter and sub-band technology, applied in the field of adaptive filter, variable regularization deviation compensation symbol sub-band adaptive filter, can solve the problems of convergence speed and steady-state imbalance, so as to speed up the convergence speed, Small steady-state imbalance, reducing the effect of steady-state imbalance

Active Publication Date: 2020-05-19
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In order to solve the problem of compromise between BC-SSAF convergence speed and steady-state imbalance, the present invention discloses a variable regularization factor

Method used

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  • Variable regularization deviation compensation symbol sub-band adaptive filter
  • Variable regularization deviation compensation symbol sub-band adaptive filter
  • Variable regularization deviation compensation symbol sub-band adaptive filter

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Embodiment

[0020] In this embodiment, a computer experiment method is used to verify the performance of the VRP-BC-SSAF filter. In the experiment, the VRP-BC-SSAF filter disclosed by the present invention is used to identify the unknown system in the environment of impulse noise interference, and its performance is compared with that of NSAF and SSAF adaptive filters. The identification of the unknown system by the VRP-BC-SSAF disclosed in the embodiment of this application includes the following steps:

[0021] 1) Combine the desired signal d(n) and the input signal The sub-band segmentation is carried out through the N-channel filter bank respectively, and the desired sub-band signal d is obtained i (n) and the subband input signal i=0,1,L,N-1, then the subband desired signal d i (n) Perform N-fold extraction to obtain the sub-band desired signal d after downsampling i,D (k), where k=nN;

[0022] 2) Pass the sub-band input signal at k=nN time and subband desired signal d i,D ...

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Abstract

The invention discloses a variable regularization deviation compensation symbol sub-band adaptive filter, and belongs to the field of digital filter design. The filter is established by minimizing thel1 norm of the posteriori error, and has high robustness. By adopting a method of adding a deviation compensation term, the influence caused by input signal noise can be compensated, and the steady-state imbalance of the system can be reduced. The variable regularization parameter method can solve the problem that the convergence speed and the steady-state imbalance need to be compromised, the high convergence speed can be obtained, and the steady-state imbalance can be reduced. The adaptive filter disclosed by the invention can be applied to electronic and communication systems which are interfered by large impulse noise.

Description

technical field [0001] The invention discloses an adaptive filter, in particular a variable regularization deviation compensation symbol subband adaptive filter, which belongs to the field of digital filter design. Background technique [0002] Adaptive filter is an important branch of modern signal processing technology, which is widely used in the fields of echo cancellation, noise cancellation and channel equalization. Due to the small amount of calculation and simple implementation, least mean square (LMS) and normalized least mean square (NLMS) are currently the two most commonly used adaptive filters. However, both algorithms converge slowly when the input signals are highly correlated. In order to solve this problem, Lee proposed a normalized subband adaptive filter [Improving Convergence of the NLMS Algorithm Using Constrained Subband Updates [J]. IEEE Signal Processing Letters, 2004, 11(9): 736-739]. NSAF can speed up the convergence speed of the filter by dividin...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H03H21/00H03H17/02
CPCH03H21/0025H03H21/0067H03H21/0043H03H21/0012H03H17/0219H03H17/0227H03H2021/0041H03H2021/0056H03H2021/0072Y02D30/70
Inventor 倪锦根吉利鹏
Owner SUZHOU UNIV