DocumentCode :
1700314
Title :
Modulation classification of communication signals
Author :
Yuan, Jiang ; Zhao-Yang, Zhang ; Pei-Liang, Qiu
Author_Institution :
Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
Volume :
3
fYear :
2004
Firstpage :
1470
Abstract :
In this paper we develop a novel algorithm using wavelet transform and pattern recognition to identify the modulation types of the communication signals automatically. Wavelet transform is used to estimate the symbol rate of the received signals in order to discriminate analogue signals from digital ones. Then the key features are extracted to identify the specific modulation type by threshold method. Computer simulation results demonstrate that the performance of the algorithm is efficient at the SNR ≤ 15 dB.
Keywords :
feature extraction; modulation; pattern recognition; signal classification; wavelet transforms; analogue signal; communication signal; modulation classification; pattern recognition; wavelet transform; Computer simulation; Digital modulation; Feature extraction; Frequency shift keying; Military communication; Pattern recognition; Phase shift keying; Signal processing; Testing; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, 2004. MILCOM 2004. 2004 IEEE
Print_ISBN :
0-7803-8847-X
Type :
conf
DOI :
10.1109/MILCOM.2004.1495157
Filename :
1495157
Link To Document :
بازگشت