Title :
Neural network application in automatic recognition of communication signals
Author :
Jian, Chen ; Yonghong, Kuo ; Jiandong, Li ; Fenglin, Fu
Author_Institution :
Sch. of Commun. Eng., Xidian Univ., Xi´´an, China
Abstract :
Automatic recognition of modulated signals has seen increasing demand nowadays. The use of artificial neural networks (NNs) for the purpose has been popular since the late 90´s. This paper proposes radial basis functions (RBF) to perform the recognition of eight kinds of modulated signals. Design considerations for the NN recognition are discussed. Computer simulation results show that the overall success rate is over 93% at the signal-to-noise ratio (SNR) of 6 dB, and the overall success rate is over 96% at the SNR of 10 dB.
Keywords :
neural nets; noise; pattern recognition; radial basis function networks; signal processing; telecommunication signalling; NN recognition; RBF; SNR; artificial neural network; automatic recognition; communication signal recognition; modulated signal; neural network application; radial basis function; signal-to-noise ratio; Application software; Artificial neural networks; Computational intelligence; Computer simulation; Feature extraction; Flowcharts; Intelligent networks; Neural networks; Signal processing; Signal to noise ratio;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238169
