A New Key Features Extraction Algorithm for Automatic Digital Modulation Recognition

Author

Sun Gangcan ; An Jianping ; Yang Jie ; Zhou Ronghua

Author_Institution

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

fYear

2007

fDate

21-25 Sept. 2007

Firstpage

2306

Lastpage

2309

Abstract

This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel-Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters - the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.

Keywords

Gaussian noise; bandlimited signals; data compression; feature extraction; modulation; Lempel-Ziv complexity; automatic digital modulation recognition; band-limited Gaussian noise sequences; band-limited digitally modulated signals; features extraction algorithm; Amplitude modulation; Computer simulation; Digital modulation; Feature extraction; Frequency; Information science; Length measurement; Phase modulation; RF signals; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1311-9

Type

conf

DOI

10.1109/WICOM.2007.575

Filename

4340350