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Title page for etd-0119105-110259


URN etd-0119105-110259 Statistics This thesis had been viewed 1825 times. Download 16 times.
Author Ming-Hung Chu
Author's Email Address stephen2mail@pchome.com.tw
Department Communication Engineering
Year 2004 Semester 1
Degree Master Type of Document Master's Thesis
Language English Page Count 77
Title THE STUDY OF AUTOMATIC ANALOGUE MODULATION RECOGNITION
Keyword
  • modulation recognition
  • AMRA
  • AMRA
  • modulation recognition
  • Abstract “Automatic analogue modulated signal recognition” is an important area in the signal analysis. For military and civilian, they also pay much attention to the applications and techniques. In this thesis, we first introduce the preliminaries of mathematics and communication for researching modulated signal recognition. Furthermore, the meanings and evaluation of the four key features of analogue modulated signal, the analogue modulation recognition algorithms (AMRA) and the procedures of automatic analogue modulated signals recognition are discussed. The decision rules used about the modulation type in these algorithms comprises only one logic comparison function (IF … ELSE … END.) Moreover, the implementation of “Automatic analogue modulated signal recognition” system requires simple and conventional signal processing skill merely.
    In the simulations, we simulated the generations of 12 analogue modulated signals and the band-limited noise of corresponding bandwidth. Besides, the SNR can be adjusted by demand. Furthermore, the thresholds of key features are determined by cumulative distribution function. The recognitions of 12 modulated signals are simulated at three SNR corresponding to 10 dB, 15 dB and 20 dB. The success rates are at least 97% and the processing time of only one segment is below 0.02 second.
    Advisor Committee
  • Jie-Cherng Liu - advisor
  • Chau-Yun Hsu - co-chair
  • Xian-Xin Zhou - co-chair
  • Files indicate in-campus access only
    Date of Defense 2004-12-03 Date of Submission 2005-01-19


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