Title :
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
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;
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
DOI :
10.1109/ICCCAS.2006.284781
