DocumentCode :
2625571
Title :
Research on Modulation Recognition of the Communication Signal Based on Statistical Model
Author :
Yuanzeng, Cheng ; Hailong, Zhang ; Yu, Wang
Author_Institution :
Beijing Inst. of Technol., Beijing, China
Volume :
3
fYear :
2011
fDate :
6-7 Jan. 2011
Firstpage :
46
Lastpage :
50
Abstract :
Modulation recognition is the key problems in noncooperative communication, communication detection and communication surveillance. Non-cooperate communication is commonly used in civilian and military applications, where it is required to monitor the activities of communication signals in space and intercept the signal information content with little prior knowledge. The paper describes the principium of the automatic modulation recognition of communicational signal based on statistical model, then analyses automatic modulation recognition of analog communicational signals and shows a method to achieve.
Keywords :
demodulation; feature extraction; modulation; signal classification; statistical analysis; analog communicational signals; automatic modulation recognition; communication detection; communication surveillance; noncooperative communication; statistical model; Amplitude modulation; Character recognition; Demodulation; Feature extraction; Frequency modulation; Phase modulation; Feature Extraction; Modulation Recognition; Signal Modulation; Statistical Model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
Type :
conf
DOI :
10.1109/ICMTMA.2011.583
Filename :
5721420
Link To Document :
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