Dissertation > Excellent graduate degree dissertation topics show

Study on Wavelet Transform Theory in Modulation Style Recognition of Communication Signals

Author: YuJing
Tutor: WeiQingGuo; LiGang
School: Nanchang University
Course: Electronics and Communication Engineering
Keywords: signal recognition modulation style wavelet transform
CLC: TN911.3
Type: Master's thesis
Year: 2013
Downloads: 5
Quote: 0
Read: Download Dissertation


Signal’s automatic modulation recognition is an important research subject in the field of communication. With the rapid development of communication technology, modulation manner of digital communication signals becomes more and more complicated and various, and circumstance of signals also becomes increasingly dense. It results in the problem that the routine methods can hardly satisfy the practical requirements. So these strict demands, for instance, less signals’ priori knowledge, more identified modulation manners, higher recognition rate in low SNR and so on, have been presented for study on automatic modulation recognition of digital communication signals. Based on these demands and the existing analysis methods, a method based on wavelet transform in the classification for the four modulation styles of signals in modern communication is proposed. It uses the variance of instantaneous amplitude, instantaneous frequency and neighboring symbol difference phase as the parameters for the different class recognition. For the intra-class recognition, it chooses the peaks in histogram of instantaneous amplitude, instantaneous frequency and neighboring symbol difference phase. The method by the wavelet transform has several advantages, such as simple structure, fast calculation, easy to understand, convenient to implement, and visualization simulation in MATLAB software demo. Relative to the recognition method based on the original signal, it has a higher recognition rate.

Related Dissertations

  1. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  2. Studies using the DDRT-PCR technique AM fungi associated genes during infection amorpha,S793.2
  3. Rail vehicle bearing fault diagnosis and research,U279.3
  4. Fog image enhancement method,TP391.41
  5. DC system based on wavelet transform line detection remaining battery capacity,TM732
  6. The Study of Image Watermark Base on Discrete Wavelet Transformation,TP309.7
  7. Research on Automatic Picking of First Arrival Based on Wavelet Transform,TP311.52
  8. An Illumination Independence Face Recognition Algorithm Based on Gabor and SVM,TP391.41
  9. Detection Algorithms on the Surface Edge Defects of Galvanized Sheet Based on Digital Image,TP274
  10. Design and Development of Tool Processing Mark Image Comparison System,TP391.41
  11. Wavelet Transform in Iris Image Denoising Application,TP391.41
  12. Research on Small Target Detection in Passive Millimeter-wave Images,TP391.41
  13. The Compression and Application of the Brain CT Image,TP391.41
  14. Research and Implementation on the Digital Audio Watermarking Algorithm,TP309.7
  15. Inspection and Recognition on a Class of Tool Processing Trace,TP391.41
  16. Research on Image Restoration with Combined Bases,TP391.41
  17. Design and Research of Wavelet Mallat Algorithm and the Lifting Scheme Based on CUDA Platform,TP391.41
  18. The Image Quality Assessment Technique Based on SVM and HVS,TP391.41
  19. Research of Information Fusion and Enhancement of Multi-Source Image,TP391.41
  20. The Research and Design of a Fire Detection System Based on Combustion Audio Recognition,X924.4
  21. The Realization and Study of a Scalable Data Encoder Based on SPIHT,TN762

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