Signal detection effects on deep neural networks utilizing raw IQ for modulation classification
作者： Steven C. Hauser , William C. Headley , Alan J. Michaels
DOI: 10.1109/MILCOM.2017.8170853
关键词: Convolutional neural network 、 Artificial neural network 、 Feature extraction 、 Signal-to-noise ratio 、 Detection theory 、 Pattern recognition 、 Feature (machine learning) 、 Quadrature amplitude modulation 、 Artificial intelligence 、 Computer science 、 Detector
摘要: Recently, automatic modulation classification techniques using convolutional neural networks on raw IQ samples have been investigated and show promise when compared to …
sci-hub.se 参考文章(14)
Matthew D. Zeiler, ADADELTA: An Adaptive Learning Rate Method arXiv: Learning. ,(2012)
O.A. Dobre, A. Abdi, Y. Bar-Ness, Wei Su, Blind modulation classification: a concept whose time has come ieee sarnoff symposium. pp. 223- 228 ,(2005) , 10.1109/SARNOF.2005.1426550
G. Arulampalam, V. Ramakonar, A. Bouzerdoum, D. Habibi, Classification of digital modulation schemes using neural networks information sciences, signal processing and their applications. ,vol. 2, pp. 649- 652 ,(1999) , 10.1109/ISSPA.1999.815756
O.A. Dobre, A. Abdi, Y. Bar-Ness, W. Su, Survey of automatic modulation classification techniques: classical approaches and new trends Iet Communications. ,vol. 1, pp. 137- 156 ,(2007) , 10.1049/IET-COM:20050176
Ilya Sutskever, Geoffrey Hinton, Alex Krizhevsky, Ruslan Salakhutdinov, Nitish Srivastava, Dropout: a simple way to prevent neural networks from overfitting Journal of Machine Learning Research. ,vol. 15, pp. 1929- 1958 ,(2014)
William C. Headley, Jesse D. Reed, Claudio R. C. M. da Silva, Distributed Cyclic Spectrum Feature-Based Modulation Classification wireless communications and networking conference. pp. 1200- 1204 ,(2008) , 10.1109/WCNC.2008.216
N. Ghani, R. Lamontagne, Neural networks applied to the classification of spectral features for automatic modulation recognition military communications conference. ,vol. 1, pp. 111- 115 ,(1993) , 10.1109/MILCOM.1993.408536
William C. Headley, Claudio R. C. M. da Silva, Asynchronous Classification of Digital Amplitude-Phase Modulated Signals in Flat-Fading Channels IEEE Transactions on Communications. ,vol. 59, pp. 7- 12 ,(2011) , 10.1109/TCOMM.2010.102910.100022
Timothy J. O’Shea, Johnathan Corgan, T. Charles Clancy, Convolutional Radio Modulation Recognition Networks Engineering Applications of Neural Networks. pp. 213- 226 ,(2016) , 10.1007/978-3-319-44188-7_16
Mohamed MT Abdelreheem, Mahi O Helmi, None, Digital Modulation Classification through time and frequency domain features using Neural Networks international symposium on telecommunications. pp. 1- 5 ,(2012) , 10.1109/BIHTEL.2012.6412073