Dissertation > Excellent graduate degree dissertation topics show

Research of Blind Equalization Algorithm Based on Neural Networks

Author: LiuLi
Tutor: YuShuJuan
School: Nanjing University of Posts and Telecommunications
Course: Circuits and Systems
Keywords: Artificial Neural Network Blind Equalization Variable Step Size Recursive Neural Network Bit Error Rate
CLC: TN911.7
Type: Master's thesis
Year: 2012
Downloads: 9
Quote: 0
Read: Download Dissertation

Abstract


Artificial neural network is a non-linear signal processor. It is made up of neurons which are interconnected, and it can do complicated operations. In digital communications, the severe inter-symbol interference is caused by time-delay, multipath transmission and coupled effects when signals transfer in channels. The severe inter-symbol interference degrades the reliability and decreases the rate of propagation. Equalization technologies can remove the effects of them. The conventional equalizer resorts to a training sequence in order to overcome inter-symbol interference. The blind equalization technology without the training sequence is possible to track the channel change, and gains signals by characteristics. So the reliability of communication is enhanced. Via neural network designing equalizer has many merits such as fast convergence rate, low bit error rate and so on. They are worth for us to studying.This paper mainly studies the blind equalization algorithm based on BP neural networks. The primary works of this paper can be summarized as follows:(1) This paper summarizes the basic theory of neural network and blind equalization. Do a research of blind equalization algorithm based on BP neural networks and it is deduced in details.(2) This paper analyzed the contradiction between convergence and steady error which is caused by fixed step size in blind equalization algorithm based on BP neural networks, and gives two kinds of adaptive variable step size algorithms based on BP neural networks. Then have comparisons with the fixed step size algorithm by computer simulations in different two channels. These simulations approve that the two adaptive variable step size algorithms have the better convergence performance, steady error and bit error rate. And do a further study on the effects of different error functions on the performance of the two adaptive variable step size algorithms.(3) This paper has an introduction of bilinear recursive neural networks, combine bilinear recursive neural networks with BP neural networks. Then propose an improvement algorithm of blind equalization algorithm which named BP-BRNN algorithm. The weights in every layer of this algorithm are deduced in details and this new improvement algorithm also has increasing in performances than the two adaptive variable step size algorithms by simulations in different channels.

Related Dissertations

  1. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  2. A Communication Board Development Based on LVDS Technology,TP273
  3. Research on the Inteligent System of High Performance Concrete Mix Design in Zhujiang Triangle Area,TU528
  4. BP network optimization based on genetic algorithm optimization of the biodiesel process,TE667
  5. Enterprise Security Benefit Evaluation and Development Strategies,F272;F224.5
  6. Ketones 3D-QSPR study,O641
  7. Optimization Study on Injection Product Warpage Based on ANN (Artificial Neural Network),TQ320.66
  8. The Research of Kernel Adaptive Filtering Algorithms,TN713
  9. Improvement Ant Colony Algorithms and Its Application to Blind Equalization,TN911.5
  10. The Researches of Random Row-column Cyclic Shift Interleaver and Quantum Interleaver,TN911.22
  11. Application of QSAR and Molcular Docking Studies in Medicinal Analytical Chemistry,R917
  12. Research on the Chaotic Spread Spcetrum Signals Blind Estimation Algorithm and the Design of Ranging Scheme,TN914.42
  13. The Application of Hyperspectral Data in Shallow Bottom Classification and Water Depth Inversion,P715.7
  14. A Study on the Performance of the Bamboo Pulp Fiber Fabrics,TS101.923
  15. Research in World Crude Oil Price and Its Factors,F713.35;F224
  16. The Application Research of Optimal Design of Electromagnetic Devices,TM503.1
  17. Green Construction Research on Decoration Works,TU767
  18. Research on Comprehensive Benefits Evaluation of Water Project,F282
  19. Research on Theapplication of Multi-gene Mutation Evolution Strategies in EDSS,F224
  20. Research on Intelligent Optimization Algorithm and Its Application in Communication,TN92

CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Signal processing
© 2012 www.DissertationTopic.Net  Mobile