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.
El-Barbary, K., Azouz, E., Mamdoh, A., & Abou El-Azm, M. (2011). CONSTELLATION SHAPE AS A ROBUST SIGNATURE FOR DIGITAL MOULATION RECOGNITION. International Conference on Aerospace Sciences and Aviation Technology, 11(ASAT Conference, 17-19 May 2005), 731-745. doi: 10.21608/asat.2011.27182
MLA
Khairy A. El-Barbary; Elsaid Elsaid A. Azouz; Ashraf A. Mamdoh; Mohammed A. Abou El-Azm. "CONSTELLATION SHAPE AS A ROBUST SIGNATURE FOR DIGITAL MOULATION RECOGNITION", International Conference on Aerospace Sciences and Aviation Technology, 11, ASAT Conference, 17-19 May 2005, 2011, 731-745. doi: 10.21608/asat.2011.27182
HARVARD
El-Barbary, K., Azouz, E., Mamdoh, A., Abou El-Azm, M. (2011). 'CONSTELLATION SHAPE AS A ROBUST SIGNATURE FOR DIGITAL MOULATION RECOGNITION', International Conference on Aerospace Sciences and Aviation Technology, 11(ASAT Conference, 17-19 May 2005), pp. 731-745. doi: 10.21608/asat.2011.27182
VANCOUVER
El-Barbary, K., Azouz, E., Mamdoh, A., Abou El-Azm, M. CONSTELLATION SHAPE AS A ROBUST SIGNATURE FOR DIGITAL MOULATION RECOGNITION. International Conference on Aerospace Sciences and Aviation Technology, 2011; 11(ASAT Conference, 17-19 May 2005): 731-745. doi: 10.21608/asat.2011.27182