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An Adaptive Sparse System Identification Method Against Shock Disturbance Based on Independent Active Factors

A technology of active factor and system identification, applied in the field of sparse system identification, it can solve the problem of slowing down the convergence speed of RP-APSA, and achieve the effect of fast convergence speed, strong tracking ability and strong tracking ability.

Inactive Publication Date: 2017-04-05
SOUTHWEST JIAOTONG UNIV
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  • Application Information

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Problems solved by technology

Furthermore, in RP-APSA, since the active factor assigned to each weight of the adaptive FIR filter is the same, it results in all inactive filter weights being assigned the same step length, which slows down The convergence speed of RP-APSA in the whole adaptive process

Method used

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  • An Adaptive Sparse System Identification Method Against Shock Disturbance Based on Independent Active Factors
  • An Adaptive Sparse System Identification Method Against Shock Disturbance Based on Independent Active Factors
  • An Adaptive Sparse System Identification Method Against Shock Disturbance Based on Independent Active Factors

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Embodiment

[0040] An adaptive sparse system identification method based on independent active factors for anti-shock interference, comprising the following steps:

[0041] A. Obtain the desired signal and output signal of the filter

[0042] Send the input signal x(n) to the sparse system w o , get the sparse system w o The output signal d(n) of the adaptive FIR filter is the desired signal; at the same time, the input signal x(n) is sent to the adaptive FIR filter to obtain the output signal of the adaptive FIR filter in:

[0043] n represents the current moment, the superscript T represents the transpose operation, w(n)=[w 1 (n),w 2 (n),...,w i (n),...,w M (n)] T is the weight column vector of the adaptive FIR filter at the current moment, that is, the sparse system w o The column vector identification value at the current moment, its length is M; the value of M depends on the situation of the sparse system, the more complex the sparse system, the larger the value, usually u...

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Abstract

An adaptive sparse system identification method based on independent active factor anti-shock interference, its steps are mainly: A, obtain the output signal and the expected signal of the adaptive FIR filter; B, combine the expected signal vector d(n) with the output Signal vector subtraction obtains the output error vector e (n) of adaptive FIR filter; C, calculate the scaling factor column vector g (n) of the weight vector of adaptive FIR filter; D, calculate the adaptive of next moment The weight column vector w(n+1) of the FIR filter; E, make n=n+1, repeat the operation of steps A, B, C, and D, that is, continuously obtain the identification value w(n of the sparse system at different times ). The method has fast convergence speed, strong tracking ability and low computational complexity.

Description

technical field [0001] The invention relates to a sparse system identification method in an impact noise environment, and belongs to the technical field of digital signal processing. Background technique [0002] In recent years, with the rapid development of adaptive filter algorithm theory, adaptive filter technology has been widely and successfully applied in system identification, channel equalization, active noise control and echo cancellation (including acoustic echo cancellation, network echo cancellation and underwater echo cancellation) and other fields. Essentially, these applications are an adaptive system identification problem, that is, using an adaptive filter to identify the impulse response or transfer function of the unknown system according to the statistical properties of the input and output signals of the unknown system. For example: in speech echo cancellation, although the signal from the speaker is first sent to the adaptive filter to generate an est...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03H21/00
Inventor 赵海全喻翌
Owner SOUTHWEST JIAOTONG UNIV