A Wavelet Multi-mode Blind Equalization Method Introducing Immune Optimization Support Vector Machine

A technology of support vector machine and multi-mode blind equalization, which is applied to the shaping network, computer components, character and pattern recognition in the transmitter/receiver, and can solve the problems of classification accuracy impact

Inactive Publication Date: 2011-12-28
NANJING UNIV OF INFORMATION SCI & TECH
View PDF0 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, during the construction of the support vector machine, the paramet...

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 Wavelet Multi-mode Blind Equalization Method Introducing Immune Optimization Support Vector Machine
  • A Wavelet Multi-mode Blind Equalization Method Introducing Immune Optimization Support Vector Machine
  • A Wavelet Multi-mode Blind Equalization Method Introducing Immune Optimization Support Vector Machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0148] In order to verify the effectiveness of the method CSA-SVM-WT-MMA of the present invention, a simulation experiment was carried out with the methods of CMA, MMA, WT-MMA and SVM-WT-MMA as comparison objects. In the simulation test, the antibody scale is 100, the cloning control factor is 0.6, the elite crossover probability is 0.2, the mutation probability is 0.1, and the maximum number of iterations of the algorithm is 200. The optimal value range of parameters C and e is set as: 1#C 20, 0.00001#e 0.1, and the number of training samples extracted by the support vector machine initialization is N=2000;

[0149] Mixed-phase underwater acoustic channel c=[0.3132-0.10400.89080.3134]; the transmitted signal is 128QAM, the weight length of the equalizer is 16, and the signal-to-noise ratio is 30dB. In SVM-WT-MMA, C=15, e=0.1; in CSA-SVM-WT-MMA of the present invention, the optimal parameters for immune optimization selection are C=17.8477, e=0.0765. Other parameter settings ...

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 wavelet multimode blind equalization method introducing an immune-optimized SVM (Support Vector Machine). Based on the global searching capability of an immune clonal selection algorithm, parameter selection in an SVM blind equalization method is changed from manual selection into automatic determination, and then, the SVM is introduced into an orthogonal wavelet multimode blind equalization method, so that the wavelet multimode blind equalization method introducing the immune-optimized SVM is invented. The method comprises the following steps of: training a small segment of extracted initial data through the SVM to estimate the initial weight value of a blind equalizer, simultaneously, executing optimum selection for the parameters in the SVM by use of an immune algorithm, and taking the initial weight value estimated through the SVM as a weight vector of the orthogonal wavelet multimode blind equalization method. Compared with a multimode blind equalization method, the orthogonal wavelet multimode blind equalization method and an SVM orthogonal wavelet multimode blind equalization method, the method provided by the invention has the advantages of high convergence rate and small steady-state error, and can be used for improving the quality of underwater sound communication better.

Description

technical field [0001] The invention relates to a wavelet multimode blind equalization method which introduces an immune optimization support vector machine into underwater acoustic communication with limited bandwidth. Background technique [0002] In underwater acoustic communication with limited bandwidth, the inter-symbol interference (ISI) caused by channel fading and multipath transmission seriously affects the communication quality and reduces the reliability and transmission rate of underwater data transmission. Therefore, effective channel equalization techniques need to be used to eliminate (see literature [1] Shafayat Abrar, Asoke K.Nandi. Blind equalization of square-QAM signals: a multi-modulus approach.IEEE Trans.Commun.2010.6(58):pp. 1601-1604). Using the constant modulus blind equalization method instead of the traditional adaptive equalization method does not need to send training sequences, which can save a lot of bandwidth and effectively increase the tra...

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
IPC IPC(8): H04L25/03H04B13/02G06K9/62
Inventor 郭业才丁锐季童莹
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap