A Proportional MSER Adaptive Decision Feedback Equalization System and Its Realization Method

A decision feedback equalization and decision feedback technology, applied in baseband systems, transmission systems, digital transmission systems, etc., can solve the problems of less training times, complex operations, slow convergence, etc., to achieve faster convergence speed, lower bit error rate, update Simple way to effect

Active Publication Date: 2020-06-19
SOUTH CHINA UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] Another object of the present invention is to provide a method for realizing a proportional minimum bit error rate adaptive decision feedback equalization system, which utilizes the inherent sparsity of the equalizer, and the equalizer uses fewer training times and is simpler The operation can achieve good system performance, which solves the problems of slow convergence and complex operation of most adaptive equalization algorithms in the past

Method used

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  • A Proportional MSER Adaptive Decision Feedback Equalization System and Its Realization Method
  • A Proportional MSER Adaptive Decision Feedback Equalization System and Its Realization Method
  • A Proportional MSER Adaptive Decision Feedback Equalization System and Its Realization Method

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Embodiment 1

[0052] Such as figure 2 As shown, a proportional MSER adaptive decision feedback equalization system includes: an equalization module, a bit error indicator, and a decision feedback unit; the equalization module includes a filter, a tap coefficient update unit and a step size update module; this implementation In example 1, the transmission signal adopts 4-QAM modulation mode;

[0053] The bit error indicator is used to convert the last filtered output signal y k After being subtracted from the real part and imaginary part of the received signal, it is converted into the real part and imaginary part of the corresponding mapping symbol, that is, the output result I k , as an indication of the parameter adjustment of the equalization module, the corresponding relationship is as follows:

[0054]

[0055] in,

[0056] R represents the real part of Ω;

[0057] I represents the imaginary part of Ω;

[0058] D represents the delay of the output signal of the equalizer rel...

Embodiment 2

[0163] When the transmitted signal adopts BPSK modulation, the proportional minimum bit error rate criterion adaptive decision feedback equalizer algorithm provided in Embodiment 2 can be simplified as the following expression:

[0164]

[0165] G f,k =diag{(g f,k (0), g f,k (1),...,g f,k (N f -1)}

[0166]

[0167] l=0,1,...,N f -1.

[0168] G b,k =diag{(g b,k (0), g b,k (1),...,g b,k (N b -1)}

[0169]

[0170] l=0,1,...,N b-1 .

[0171]

[0172]

[0173] The meanings of the symbols are as follows:

[0174] w k-1 : A column vector composed of forward equalizer filter coefficients before updating;

[0175] b k-1 : A column vector composed of the feedback equalizer filter coefficients before updating;

[0176] r k : column vector composed of received signals;

[0177] A column vector composed of decision feedback signals;

[0178] α: It is a constant, the typical value is 0.5;

[0179] G f,k : Diagonal matrix composed of the updated forw...

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Abstract

The invention discloses a proportionate MSER adaptive decision feedback equalization system. The system comprises an error code indicator, an equalization module and a decision feedback unit, and theequalization module comprises a filter, a tap coefficient update unit and a step update module. The invention also discloses a realization method of the proportionate MSER adaptive decision feedback equalization system. The method includes following steps: S1) setting initial values G<f, 1> and G<b, 1> of a sparse diagonal matrix and initial values w0 and b0 of a filter coefficient; S2) calculating a filtering output signal yk; S3) calculating a result Ik of an error code indicator; S4) respectively updating sparse diagonal matrixes G<f, k-1> and G<b, k-1> as G<f, k> and G<b, k>; S5) respectively updating the filter coefficient w<k-1> and b<k-1> as wk and bk; and S6) repeating steps S2-S5 until a coefficient of an equalizer is converged. The system and the method are simple and easy to realize, and excellent system performance can be achieved in underwater acoustic communication by employing fewer training symbols.

Description

technical field [0001] The invention relates to wireless communication technology, in particular to a proportional MSER adaptive decision feedback equalization system and its realization method. Background technique [0002] The ocean is a treasure house of rich resources closely related to human production, life, national defense and security. Many countries in the world have invested huge manpower and material resources in the exploration of the ocean, which has also led many scientific workers to join in the research of marine science. , and the development of the marine industry is inseparable from the major achievements of underwater acoustic communication and related information technology. However, underwater acoustic communication channels are characterized by propagation loss and severe multipath effects, so underwater acoustic channels are generally considered to be one of the most challenging communication media. Since the marine environment includes water bodies...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/03
CPCH04L25/03006H04L25/03012H04L2025/03433
Inventor 陈芳炯王振忠刘靖季飞余华张军
Owner SOUTH CHINA UNIV OF TECH
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