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Multi-modulus blind equalization algorithm (MMA) optimized by Memetic algorithm (MA)

A multi-mode blind equalization and blind equalization technology, which is applied to the shaping network and baseband system components in the transmitter/receiver, and can solve the problems of slow convergence speed and large residual mean square error.

Active Publication Date: 2015-10-28
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

The method of the present invention has significantly improved ability to restore high-order multi-mode signals, fast convergence speed, and small steady-state error, and solves the problem of convergence speed caused by the mismatch between the error function and the signal constellation model when the multi-mode blind equalization method equalizes high-order multi-mode QAM signals. Defects of slowness and large residual mean square error

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  • Multi-modulus blind equalization algorithm (MMA) optimized by Memetic algorithm (MA)
  • Multi-modulus blind equalization algorithm (MMA) optimized by Memetic algorithm (MA)
  • Multi-modulus blind equalization algorithm (MMA) optimized by Memetic algorithm (MA)

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Embodiment Construction

[0057] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0058] In the invention, the cost function of MMA is properly transformed as the fitness function of the meme method, and the optimal weight vector of the blind equalizer is found by using the optimization ability of the meme method.

[0059] Such as figure 1 The schematic diagram of the multi-mode blind equalization method is shown, x(k) is the received signal of the blind equalizer, w(k) is the weight vector of the blind equalizer, z(k) is the output of the blind equalizer, z(k) Estimated signal through nonlinear system e(k) is the error signal, R J is the sampling modulus, R D is the judgment modulus, and the MMA method is inside the dotted box.

[0060] MMA takes the LMS method as a model, passes the output signal z(k) of the blind equalizer through a nonlinear system g( ), and obtains the estimated signal Replace the desired signal d(k)...

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Abstract

The invention discloses a multi-modulus blind equalization algorithm (MMA) optimized by a Memetic algorithm (MA). The concepts of individual evolution, social behaviors among individuals and the like are introduced into a blind equalization technology; the reciprocal of an MMA cost function is defined as a fitness function of the MA; individual optimal vectors are searched in a global scope by means of the population optimization mechanism and local area deep-searching capability of the MA and are taken as the initial optimization weight vectors of the MMA. Iteration is performed through the MMA to obtain an optimal weight vector of the MMA. Compared with a constant modulus blind equalization algorithm (CMA), the MMA and a genetic algorithm-based multi-modulus blind equalization algorithm (GA-MMA), the algorithm disclosed by the invention has the advantages of high convergence speed during equalization of high-order multi-modulus signals, smallest steady-state errors and clearest output signal constellation map.

Description

technical field [0001] The present invention is a multi-mode blind equalization method combining memetic method and blind equalization technology, which is used in underwater acoustic communication system and can effectively equalize high-order multi-mode modulation signals, and specifically relates to a multi-mode method optimized by memetic method Modular Blind Equalization Method. Background technique [0002] In the communication system, in order to effectively eliminate the intersymbol interference caused by limited bandwidth and multipath propagation, the receiving end needs to introduce blind equalization technology. In the blind equalization technology, the constant modulus blind equalization algorithm (CMA, Constant Modulus blind equalization Algorithm) is to make the equalizer output signal constellation points distributed on a circle with a radius of (the statistical modulus of the signal) as much as possible, so as to continuously adjust the equalization The wei...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03
Inventor 郭业才张苗青姚超然禹胜林
Owner NANJING UNIV OF INFORMATION SCI & TECH
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