Title :
Source separation based modulation recognition of cochannel signals
Author :
Mingquan, Lu ; Xianci, Xiao ; Lemin, Li
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
In this paper, a new modulation recognition method of multiple cochannel signals is proposed. The basic idea of this method is that the null-steering beamforming technique is employed to separate each modulated signal from a ULA output data, and then a modulation recognizer, using an instantaneous frequency feature extracted by AR modeling and a RBF neural network classifier, is followed to identify the modulation type individually. Performance of the new method is assessed via computer simulations
Keywords :
antenna arrays; array signal processing; autoregressive processes; feature extraction; modulation; radial basis function networks; signal classification; -steering beamforming technique; AR modeling; RBF neural network classifier; cochannel signals; instantaneous frequency feature; performance; source separation based modulation recognition; Additive white noise; Array signal processing; Computer simulation; Data mining; Feature extraction; Frequency; Neural networks; Optical modulation; Signal processing; Source separation;
Conference_Titel :
Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
7-80090-827-5
DOI :
10.1109/ICCT.1998.741062
