Abstract In this paper, an automatic classification algorithm for MPSK signals is proposed. In this algorithm, it is assumed that there is prior information about the received signal to be an MPSK type. The concept of the proposed classification algorithm is based on evaluating the statistical moments of the instantaneous phase of the received signal and using it as a key feature to classify the MPSK signals. The proposed algorithm comprises three main steps: 1) estimation of the instantaneous phase of the received signal, 2) computation of statistical moments of the estimated phase, and 3) decision about the number of phase states of the intercepted signal. The performance of the proposed algorithm is measured in terms of the success rate of classification using computer simulations. It is found that all digital modulation types of interest have been correctly classified with a success rate > 91 % at signal-to-noise ratio, SNR, of 10 dB.
Helaly, T. (2006). AUTOMATIC CLASSIFICATION OF MPSK SIGNALS USING STATISTICAL MOMENTS. The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), 1-9. doi: 10.21608/iceeng.2006.33695
MLA
Tarek Helaly. "AUTOMATIC CLASSIFICATION OF MPSK SIGNALS USING STATISTICAL MOMENTS", The International Conference on Electrical Engineering, 5, 5th International Conference on Electrical Engineering ICEENG 2006, 2006, 1-9. doi: 10.21608/iceeng.2006.33695
HARVARD
Helaly, T. (2006). 'AUTOMATIC CLASSIFICATION OF MPSK SIGNALS USING STATISTICAL MOMENTS', The International Conference on Electrical Engineering, 5(5th International Conference on Electrical Engineering ICEENG 2006), pp. 1-9. doi: 10.21608/iceeng.2006.33695
VANCOUVER
Helaly, T. AUTOMATIC CLASSIFICATION OF MPSK SIGNALS USING STATISTICAL MOMENTS. The International Conference on Electrical Engineering, 2006; 5(5th International Conference on Electrical Engineering ICEENG 2006): 1-9. doi: 10.21608/iceeng.2006.33695
)
View on SCiNiTO