Title :
Collaborative modulation recognition based on SVM
Author :
Gong, Xiaojie ; Bian, Li ; Zhu, Qi
Author_Institution :
Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper the method of recognizing signals modulated collaboratively by 2ASK, 4ASK, FSK, 2PSK 4PSK and OFDM is presented based on a hierarchical SVM algorithm with five characteristic parameters. Two nodes extract key features separately, and then sent to a center where the modulation types are recognized using the hierarchical SVM classifier. Simulation results show that collaborative modulation recognition method performs better than that using single node. And with SNR larger than 0 dB, its successful recognition rates are all higher than 90%.
Keywords :
OFDM modulation; amplitude shift keying; frequency shift keying; phase shift keying; signal detection; support vector machines; 2ASK; 2PSK; 4ASK; 4PSK; FSK; OFDM; SVM; collaborative modulation recognition; Collaboration; Feature extraction; Frequency shift keying; OFDM; Signal to noise ratio; Support vector machines; collaborative modulation recognition; feature extraction; support vector machines(SVM);
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5583916