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