Automatic digital modulation recognition using spectral and statistical features with multi-layer perceptrons

M. L. Dennis Wong, Asoke K. Nandi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

64 Citations (Scopus)

Abstract

Automatic recognition of digitally modulated signals has seen increasing demand nowadays. The use of ANNs for this purpose has been popular since the late 90's. We propose an MLP recogniser implementation with better generalisation as well as an addition of a new statistical cumulant based features set for recognising ten different modulation types. Simulations show satisfactory results even with low SNR value, e.g. 98% success rate at 0 dB SNR.

Original languageEnglish
Title of host publication6th International Symposium on Signal Processing and Its Applications
PublisherIEEE
Pages390-393
Number of pages4
ISBN (Print)0780367030, 9780780367036
DOIs
Publication statusPublished - 2001
Event6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia
Duration: 13 Aug 200116 Aug 2001

Conference

Conference6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
CountryMalaysia
CityKuala Lumpur
Period13/08/0116/08/01

ASJC Scopus subject areas

  • Computer Science Applications
  • Signal Processing

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    Wong, M. L. D., & Nandi, A. K. (2001). Automatic digital modulation recognition using spectral and statistical features with multi-layer perceptrons. In 6th International Symposium on Signal Processing and Its Applications (pp. 390-393). [950162] IEEE. https://doi.org/10.1109/ISSPA.2001.950162