Browse > Article

Signal Processing Techniques for Recognition of CW Morse Signals  

Son, Young-Chae (한국항공우주산업)
Lim, Dong-Min (경상대학교 전자공학과)
Tae, Ki-Cheol (한국전자통신연구원)
Kim, Chung-Sub (한국전자통신연구원)
Hahm, Young-Kwon (한국전자통신연구원)
Kim, Chang-Joo (한국전자통신연구원)
Abstract
Recognition of CW Morse signals can be divided into several phases such as detection of tones and spaces, signal processing for removing noise from detected signals, decision of tones/spaces, mapping a sequence of tones and spaces into characters, error correction of a character message with textual repetition. In this paper, in order to cope with signal fading effectively we propose a signal detection method of identifying peaks in the frequency domain and present techniques for combining multiple frequency peaks and for removing residual signal components and noise. LMS adaptive method is applied for decision of tones/spaces, and initial value setting and malfunctioning conditions are analyzed. In recognition experiments, we used CW Morse signals collected by radio receivers and found that the proposed method achieves good recognition performance even in severe fading conditions.
Keywords
Citations & Related Records
연도 인용수 순위
  • Reference
1 S. Haykin, Communication Systems, 4th ed.,John Wiley & Sons, Inc., 2001
2 C-H Yang, 'Morse code recognition usinglearning vector quantization for persons withphysical disabilities,' IEICE Trans. Funda-mentals, vol. E84-A, pp. 356-362, Jan. 2001
3 A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, Prentice-Hall, Inc.,1989
4 The ARRL Handbok for Radio Amateurs, The American Radio Relay League, 1994
5 M-C Hsieh, C-H Luo, and C-W Mao,Unstable Morse code recognition with adaptivevariable-ratio threshold prediction for physicallydisabled persons,' IEEE Trans. Rehab. Eng.,vol. 8, pp. 405-413, Sept. 2000   DOI   ScienceOn