Title :
A testbed for automatic modulation recognition using artificial neural networks
Author :
Kremer, Stefan C. ; Shiels, Joanne
Author_Institution :
Commun. Res. Centre, Ottawa, Ont., Canada
Abstract :
Automatic modulation recognition, the identification of the modulation scheme used to encode an unknown radio transmission, is an important component of electronic warfare communications systems. Existing technology is able to classify reliably (success rate ⩾90%) only at signal-to-noise ratios (SNRs) above 10 dB. In this paper, an artificial neural network is developed to classify signals with SNRs as low as 5 dB. Preprocessing steps and network performance on an initial test set are described
Keywords :
decoding; electronic countermeasures; military communication; military computing; modulation coding; neural nets; pattern classification; radiocommunication; telecommunication computing; artificial neural networks; automatic modulation recognition testbed; electronic warfare communications systems; preprocessing; signal classification; unknown radio transmission encoding; Artificial neural networks; Automatic testing; Counting circuits; Demodulation; Function approximation; Information analysis; Modulation coding; Pattern classification; Signal to noise ratio; System testing;
Conference_Titel :
Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on
Conference_Location :
St. Johns, Nfld.
Print_ISBN :
0-7803-3716-6
DOI :
10.1109/CCECE.1997.614791
