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논문검색

Identifying of Digital Signals Based on Manifold Learning

원문정보

Qingbo Ji, Boyang Feng, Yun Lin, Zheng Dou, Zhiqiang Wu, Zhiping Zhang

보안공학연구지원센터(IJSIP) International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.2 2016.02 pp.127-134
피인용수 : 0건 (자료제공 : 네이버학술정보)

초록

영어

Modulation type is one of the most important characteristics used in signal recognition. An algorithm to realize signal modulation identification is proposed in this paper. We applied wavelet transformation and STFT to the signal, and then used manifold learning method to reduce the high dimension and extracted the recognition feature. The proper threshold value was set as the classifier to achieve the purpose of recognizing 4 kinds of signals (MASK, MFSK, MPSK,QAM) in Gauss white noise environment. The algorithm requires priori signal information no other than signal-to-noise rate. Simulation result indicates the algorithm achieves good performance.

목차

Abstract
 1. Introduction
 2. Isomap Method
 3. Recognition
  3.1. Signals Representation
  3.2. STFT Manifold
  3.3. WT Manifold
  3.4. Signal Identification
 4. Simulation
 5. Conclusion
 References

키워드

저자정보

  • Qingbo Ji College of Information and Communication Engineering Harbin Engineering University, Harbin, China
  • Boyang Feng College of Information and Communication Engineering Harbin Engineering University, Harbin, China
  • Yun Lin College of Information and Communication Engineering Harbin Engineering University, Harbin, China
  • Zheng Dou College of Information and Communication Engineering Harbin Engineering University, Harbin, China
  • Zhiqiang Wu Department of Electrical Engineering Wright State University, Dayton, Ohio, U.S.
  • Zhiping Zhang Department of Electrical Engineering Wright State University, Dayton, Ohio, U.S.

참고문헌

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