Title :
Modified Automatic Modulation Recognition Algorithm
Author :
Yang, Jie ; Wang, Xumeng ; Wu, Hongli
Author_Institution :
Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China
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 bandlimited 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.
Keywords :
modulation; parameter estimation; identification parameter; modified automatic modulation recognition algorithm; modulation identification field; Computational modeling; Computer simulation; Digital modulation; Gaussian noise; Pattern recognition; RF signals; Signal processing; Signal to noise ratio; Universal Serial Bus; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5302483
