Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A Fractional Interval Multimodal Blind Equalization Method Based on the DNA Genetic Bat Method

A multi-mode blind equalization and fractional interval technology, applied in DNA computer, gene model, baseband system, etc., can solve problems such as low convergence speed and steady-state error

Active Publication Date: 2018-01-05
NANJING UNIV OF INFORMATION SCI & TECH
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Fractional Interval Multimodal Blind Equalization Method Based on the DNA Genetic Bat Method
  • A Fractional Interval Multimodal Blind Equalization Method Based on the DNA Genetic Bat Method
  • A Fractional Interval Multimodal Blind Equalization Method Based on the DNA Genetic Bat Method

Examples

Experimental program
Comparison scheme
Effect test

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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

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 Algorithm (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, Constant Modulus Algorithm), MMA has faster convergence speed and smaller steady-state error, and can effectively equalize multi-mode signals. The main idea of ​​Fractionally Spaced Equalizer (FSE, Fractionally Spaced Equalizer) is to oversample the signal, which effectively reduces the weight length of the blind equalizer, obtains more channel information, and is beneficial to compensate channel distortion and restore the input signal. Combining FSE and MMA, the Fractionally Spaced Multi-Modulus Alg...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com