A testbed for automatic modulation recognition using artificial neural networks

Author

Kremer, Stefan C. ; Shiels, Joanne

Author_Institution

Commun. Res. Centre, Ottawa, Ont., Canada

Volume

1

fYear

1997

fDate

25-28 May 1997

Firstpage

67

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1997. Engineering Innovation: Voyage of Discovery. IEEE 1997 Canadian Conference on

Conference_Location

St. Johns, Nfld.

ISSN

0840-7789

Print_ISBN

0-7803-3716-6

Type

conf

DOI

10.1109/CCECE.1997.614791

Filename

614791