CONSTELLATION SHAPE AS A ROBUST SIGNATURE FOR DIGITAL MOULATION RECOGNITION | ||
| International Conference on Aerospace Sciences and Aviation Technology | ||
| Article 43, Volume 11, ASAT Conference, 17-19 May 2005, May 2011, Pages 731-745 PDF (3.06 M) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asat.2011.27182 | ||
| Authors | ||
| Khairy A. El-Barbary1; Elsaid Elsaid A. Azouz2; Ashraf A. Mamdoh1; Mohammed A. Abou El-Azm1 | ||
| 1Department of Electronic Warfare Engineering, Military Technical College, Cairo, Egypt. | ||
| 2Communication Ministry , Frequency Management Center , Cairo, Egypt. | ||
| Abstract | ||
| Modulation recognition plays a key role in analysis of the intercepted signals by electronic warfare receivers. A hybrid approach for modulation recognition is introducd. This approach consists of two main classification and decision algorithms. The first is a pattern recognition algorithm for reconstruction of the constellation shape as a stable modulation signature of the intercepted signal. The second is a threshold detection logic algorithm for identification of the modulation type of the intercepted signal. These two algorithms are connected through a feature extraction procedure The complex envelope, which represents both the in phase and quadrature phase components of the received signal after carrier estimation [1,2,11] is utilized as the input of the pattern recognition algorithm. The proposed algorithm shows a robust behavior for identification of single tone digital modulated signals for a relatively low signal to noise ratio (SNR) compared with the ordinary modulation recognition algorithms. Experimental results are shown for various modulation standards including M-ASK, M-PSK, and M-QAM only for M= 8 or 16, received through an AWGN channel and in the presence of carrier recovery errors. | ||
|
Statistics Article View: 174 PDF Download: 261 |
||
