Abstract—In this paper, we suggested new algorithms to discriminate between eight analogue modulated signals (amplitude modulation (AM), frequency modulation (FM), double side band (DSB), lower side band (LSB), upper side band (USB), vestigial side band (VSB), combined (AM-FM) and carrier wave (CW)). The simulation results show that the overall recognition of the new algorithms over 97% when the signal to noise ratio (SNR)=0dB. These new algorithms not only achieve a better recognition rate, but also reduce the computational loads.

Index Terms—features, modulation recognition, analogue modulated signals and algorithm

Cite: Badreldeen Ismail Dahap and Hesham Ibrahim Ahmed, "New Algorithms for Automatic Modulation Recognition for Analogue Signals Using Multi Features," International Journal of Signal Processing Systems, Vol. 2, No. 2, pp. 144-148, December 2014. doi: 10.12720/ijsps.2.2.144-148