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A proportional lmp filter method based on parameter adjustment under cim function

A parameter adjustment and function technology, applied in the field of proportional LMP filtering, can solve problems such as convergence speed degradation, and achieve the effect of improving adaptability

Active Publication Date: 2019-08-27
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
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  • Application Information

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Problems solved by technology

However, the proportional LMP algorithm is proposed for the impulse response with a large degree of sparsity. When the system sparsity decreases, the convergence speed of the proportional LMP algorithm will degrade sharply, even slower than the LMP algorithm.

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  • A proportional lmp filter method based on parameter adjustment under cim function
  • A proportional lmp filter method based on parameter adjustment under cim function
  • A proportional lmp filter method based on parameter adjustment under cim function

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Embodiment Construction

[0027] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings, but the protection scope of the present invention is not limited to the following description.

[0028] Such as figure 1 As shown, a proportional LMP filtering method based on parameter adjustment under a CIM function includes the following steps:

[0029] S1. The input signal x(n) of the adaptive filter=[x(n),x(n-1),...,x(n-L+1)] T and the expected value of the weight vector of the filter Multiply, plus the noise signal v(n), to get the desired output signal d(n):

[0030] d(n)=w *T x(n)+v(n);

[0031] In the formula, L represents the channel length;

[0032] S2. The input signal x(n) of the adaptive filter=[x(n),x(n-1),...,x(n-L+1)] T And the filter real-time weight vector w(n)=[w 1 (n),w 2 (n),...,w L (n)] T Multiply to get the actual output signal y(n):

[0033] y(n)=w T (n)x(n);

[0034] S3. Make a difference between...

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Abstract

The invention discloses a proportional LMP filtering method based on parameter adjustment under the CIM function. Output signal; multiply the input signal of the adaptive filter with the real-time weight vector of the filter to obtain the actual output signal; make the difference between the expected output signal and the real-time output signal, obtain the signal error, and calculate the cost function; introduce the CIM function under the Adjust the diagonal matrix of parameters according to the system sparsity, and adjust the weight vector; use the adjusted weight vector as the new real-time weight vector of the filter. The invention enables the adaptive filter to maintain a good convergence speed and filtering accuracy in a system with a relatively large sparsity, and also maintain a good convergence speed and filtering accuracy in a system with a relatively small sparsity, thereby improving the adaptive filtering. adaptability of the device to the environment.

Description

technical field [0001] The invention relates to the technical field of digital signal processing, in particular to a proportional LMP filtering method based on parameter adjustment under a CIM function. Background technique [0002] The adaptive filter is a filter that tracks the time-varying characteristics of the signal by changing the parameters of the traditional filter through an adaptive algorithm. The traditional filter needs to know the channel structure, but many channels are unknown in actual situations, and the adaptive filter The filter can adaptively find the optimal filter parameters in an iterative manner according to the statistical characteristics of the signal or noise without knowing the system structure. This feature makes the adaptive filter echo cancellation and channel equalization in the communication field , filtering and inverse filtering, system identification, noise elimination, etc. have been widely used. [0003] In recent years, with the devel...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H03H21/00
Inventor 张静静石颖张洪斌赵集毛翔
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA