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Constant modulus blind equalization processing method based on optimization of DNA shuffled frog leaping algorithm in communication system

A communication system and processing method technology, applied in the field of normal mode blind equalization processing, can solve the problems of loss of signal phase information, difficulty in obtaining global optimum, slow convergence speed, etc., to reduce mean square error, output constellation diagram clear and compact, The effect of increasing the convergence speed

Active Publication Date: 2016-03-02
NANJING UNIV OF INFORMATION SCI & TECH
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AI Technical Summary

Problems solved by technology

This type of method is simple to implement and has been widely used, but it loses the phase information of the signal, and the gradient method is easy to fall into local convergence, and it is difficult to obtain the global optimum
In addition, the normal mode blind equalization method also has the disadvantages of slow convergence speed and large mean square error.

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  • Constant modulus blind equalization processing method based on optimization of DNA shuffled frog leaping algorithm in communication system
  • Constant modulus blind equalization processing method based on optimization of DNA shuffled frog leaping algorithm in communication system
  • Constant modulus blind equalization processing method based on optimization of DNA shuffled frog leaping algorithm in communication system

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Embodiment Construction

[0034] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0035] (1) Norm blind equalization method

[0036] Blind equalization technology is a new adaptive equalization technology that uses the prior information of the received sequence itself to equalize the channel characteristics without using the training sequence, so that the output sequence is as close as possible to the transmitted sequence. It can effectively compensate the non-ideal characteristics of the channel, overcome intersymbol interference, reduce bit error rate and improve communication quality. The principle block diagram of the normal mode blind equalization method is as follows: figure 1 shown.

[0037] figure 1 where a(k) is the transmission sequence of the system; h(k) is the impulse response of the discrete-time transmission channel (including the transmission filter, transmission medium and receiving filter, etc.), and its len...

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Abstract

The invention discloses a constant modulus blind equalization processing method based on the optimization of a DNA shuffled frog leaping algorithm (DNA-SFLA-CMA) in a communication system. The invention takes full advantage of the great optimizing capability of an SFLA and the higher convergence precision of a DNA genetic algorithm, combines the two algorithms to obtain the DNA-SFLA, and utilizes the DNA-SFLA to optimize a constant modulus blind equalization weight vector. The optimization steps comprise: 1) initializing a frog population; 2) calculating the fitness value of a frog individual in the frog population, sorting position vectors of frog individuals from smallest to largest according to fitness values, and performing interlace operation on the position vectors of frog individuals, and mutation operation on DNA sequence position vectors after DNA coding of the frog individuals so as to select the position vectors of an optimal frog individual; and 3) employing the position vectors of an optimal frog individual as the initial weight vector of a constant modulus blind equalization method. The constant modulus blind equalization processing method has the advantages of fast convergence speed and small mean square error.

Description

technical field [0001] The invention relates to the technical field of blind equalization, in particular to a normal mode blind equalization processing method optimized based on the DNA leapfrog method in a communication system. Background technique [0002] In wireless communication and high-speed data communication systems, due to the multipath effect and band-limiting characteristics of the actual channel, inter-symbol interference (Inter-symbol Interference, ISI) will inevitably occur when data passes through the channel, which is an important factor affecting communication quality. factor. In order to eliminate intersymbol interference, an equalization technique needs to be adopted in the receiving section. Blind equalization technology is a technique that does not need to use the training sequence, but only uses the prior knowledge of the receiving sequence itself to equalize the channel, so that the output sequence is as close as possible to the sending sequence. Th...

Claims

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Application Information

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IPC IPC(8): H04L25/03
CPCH04L25/03165H04L25/03267H04L25/03891
Inventor 郭业才姚超然禹胜林
Owner NANJING UNIV OF INFORMATION SCI & TECH
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