DocumentCode :
3144988
Title :
A Hybrid Approach to Modulation Recognition for Intentional Modulation on Pulse (IMOP) Applications
Author :
Zhou, Yifeng ; Sung, Stephen
Author_Institution :
Radar Electron. Warfare Sect., Defence R&D Canada, Ottawa, Ont.
fYear :
2006
fDate :
38838
Firstpage :
13
Lastpage :
16
Abstract :
In this paper, a hybrid approach to modulation recognition is proposed for classifying unmodulated CW, narrow-band FM, wide-band FM, triangular FM, BPSK, DSB-SC and AM as well as noise. The algorithm is based on the use of decision theoretic and pattern recognition techniques. The decision theoretic approach is used to separate noise from signals, constant-envelope from varying-envelope waveforms, unmodulated CW from waveforms with phase information, and the two varying-envelope waveforms from one another. The pattern recognition technique is used to distinguish the three FM and BPSK waveforms. Computer simulations are used to demonstrate the performance of the proposed algorithm
Keywords :
amplitude modulation; decision theory; frequency modulation; pattern recognition; phase shift keying; pulse modulation; BPSK; DSB-SC; IMOP application; amplitude modulation; binary phase shift keying; decision theoretic approach; intentional modulation on pulse; modulation recognition; narrow-band FM; pattern recognition technique; signal noise; triangular frequency modulation; unmodulated CW; wide-band FM; Binary phase shift keying; Computer simulation; Electronic warfare; Flexible manufacturing systems; Frequency modulation; Pattern recognition; Pulse modulation; Signal processing; Space vector pulse width modulation; Statistics; Electronic support measures; decision theoretic; intentional modulation; modulation; pattern recognition; statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
1-4244-0038-4
Electronic_ISBN :
1-4244-0038-4
Type :
conf
DOI :
10.1109/CCECE.2006.277333
Filename :
4055080
Link To Document :
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