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Fractionally-spaced multi-modulus algorithm based on DNA genetic bat algorithm

A multi-mode blind equalization and fractional interval technology, which is applied in DNA computers, genetic models, baseband systems, etc., and can solve problems such as low convergence speed and steady-state error.

Active Publication Date: 2015-11-18
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

[0003] If the DNA genetic bat method can be applied to the equalizer weight vector optimization of the blind equalization method, it will help to obtain faster convergence speed and lower steady-state error, but there is still a lack of DNA genetic bat method and Application Model of Combining Blind Equalization Methods

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  • Fractionally-spaced multi-modulus algorithm based on DNA genetic bat algorithm
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  • Fractionally-spaced multi-modulus algorithm based on DNA genetic bat algorithm

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Embodiment Construction

[0062] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0063] The application of the DNA genetic bat approach to the Fractional Interval Multimodal Blind Equilibrium method is further detailed as follows:

[0064] The input signal of the equalizer is used as the input of the DNA genetic bat method, and the cost function of MMA is properly transformed as the fitness function of the DNA genetic bat method, and the optimal ability of the DNA genetic bat method is used to find the best equalizer. weight vector. The principle block diagram of fractional interval multi-mode blind equalization method is as follows: figure 1 shown.

[0065] In the figure a(k) is the transmission signal sequence, c m (k) is the mth sub-channel, n m (k) is the additive Gaussian white noise of the m branch, y mR (k) and y mI (k) are respectively multimode module m input signal y m The real and imaginary parts of (k), w mR...

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Abstract

The invention discloses a fractionally-spaced multi-modulus algorithm (FS-MMA) based on a DNA genetic bat algorithm (DNA-GBA) (DNA-GBA-FS-MMA). The DNA-GBA-FS-MMA combines the DNA-GBA with the FS-MMA and fully utilizes the advantages of the FS-MMA and the DNA-GBA. The invention introduces a DNA genetic algorithm into a bat algorithm (BA) so as to obtain the DNA-GBA. A global optimal position vector of a bat group is found by the DNA-GBA and is used as the real part and the imaginary part of the initialized optimal weight vector of a MMA in order to increase rate of convergence and reduce excess mean square error. Compared with a BA-FS-MMA and a BA-MMA, the DNA-GBA-FS-MMA is fast in rate of convergence, low in mean square error, and global optimal performance, and has practical value in communication technology field.

Description

technical field [0001] The invention relates to the technical field of blind equalization, in particular to a fractional interval multi-mode blind equalization method based on the DNA genetic bat method. Background technique [0002] Multi-Modulus Blind Equalization (MMA, Multi-Modulus Algorithm) can simultaneously realize blind equalization and carrier phase recovery without using an independent carrier recovery system. Compared with the constant modulus blind equalization method (CMA, ConstantModulusAlgorithm), MMA has faster convergence speed and smaller steady-state error, and can effectively equalize multi-mode signals. The main idea of ​​the Fractionally Spaced Equalizer (FSE, FractionallySpacedEqualizer) is to oversample the signal, effectively reducing the weight of the blind equalizer, obtaining more channel information, and helping to compensate for channel distortion and restore the input signal. Combining FSE and MMA, the Fractionally Spaced Multi-Modulus Algori...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/03G06N3/12
CPCG06N3/123H04L25/0305
Inventor 郭业才吴华鹏王惠
Owner NANJING UNIV OF INFORMATION SCI & TECH
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