Modified Automatic Modulation Recognition Algorithm

Author

Yang, Jie ; Wang, Xumeng ; Wu, Hongli

Author_Institution

Dept. of Electron. Eng., Beijing Inst. of Technol., Beijing, China

fYear

2009

fDate

24-26 Sept. 2009

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/WICOM.2009.5302483

Filename

5302483