Automatic Digital Modulation Recognition Algorithms Based on Approximately Logarithm Likelihood Method

Author

Wei, Zhang ; Hu, Yang

Author_Institution

Electron. Sci. & Eng. Coll., Nat. Univ. of Defense Technique, Changsha

Volume

2

fYear

2006

fDate

25-28 June 2006

Firstpage

834

Lastpage

838

Abstract

In this paper, we develop a new approximately maximum average likelihood algorithms for modulation classification of MPSK signal, introduce average likelihood method, gain approximately classify statistics via received signal sampled and main parameters approximated. Simulation results indicate that the algorithms can gain high probability of correct classification and low compute quantity, when an appropriate sampling plan is used by SNR condition

Keywords

approximation theory; maximum likelihood estimation; phase shift keying; probability; signal classification; signal sampling; MPSK signal classification; approximately maximum average likelihood method; automatic digital modulation recognition algorithm; multiple phase shift keying; probability; signal sampling; Additive white noise; Computational modeling; Digital modulation; Educational institutions; Gaussian noise; Modulation coding; Probability; Sampling methods; Signal processing; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Circuits and Systems Proceedings, 2006 International Conference on

Conference_Location

Guilin

Print_ISBN

0-7803-9584-0

Electronic_ISBN

0-7803-9585-9

Type

conf

DOI

10.1109/ICCCAS.2006.284781

Filename

4064022