Modified automatic modulation recognition algorithm

Authors:
Jie Yang;Xumeng Wang;Hongli Wu
Affiliations:
Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China;Department of Electronic Engineering, Beijing Institute of Technology, Beijing, China;
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 3
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Abstract

The modulation identification algorithm proposed by Asoke K. Nandi and E. E. Azzouz is one of the important methods in modulation identification field. A solution to the problem you may meet in realizing this algorithm is presented in this paper. A few modifications are made to the identification parameters gamma_max, sigma_ap and sigma_dp. The modulation type we can discriminate here includes AM, DSB, LSB, USB, FM and ASK2, FSK2, PSK2, PSK4. Computer simulations for different types of analogue signals and band-limited digitally modulated signals corrupted by band-limited Gaussian noise have been carried out. The simulation results indicate that this improved method can get a high correct identification rate.