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

M. L. Dennis Wong; Asoke K. Nandi

doi:10.1109/ISSPA.2001.950162

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 proceeding › Conference contribution

81 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 language	English
Title of host publication	6th International Symposium on Signal Processing and Its Applications
Publisher	IEEE
Pages	390-393
Number of pages	4
ISBN (Print)	0780367030, 9780780367036
DOIs	https://doi.org/10.1109/ISSPA.2001.950162
Publication status	Published - 2001
Event	6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 - Kuala Lumpur, Malaysia Duration: 13 Aug 2001 → 16 Aug 2001

Conference

Conference	6th International Symposium on Signal Processing and Its Applications, ISSPA 2001
Country/Territory	Malaysia
City	Kuala Lumpur
Period	13/08/01 → 16/08/01

ASJC Scopus subject areas

Computer Science Applications
Signal Processing

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10.1109/ISSPA.2001.950162

Cite this

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title = "Automatic digital modulation recognition using spectral and statistical features with multi-layer perceptrons",

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.",

author = "Wong, {M. L. Dennis} and Nandi, {Asoke K.}",

year = "2001",

doi = "10.1109/ISSPA.2001.950162",

language = "English",

isbn = "0780367030",

pages = "390--393",

booktitle = "6th International Symposium on Signal Processing and Its Applications",

publisher = "IEEE",

address = "United States",

note = "6th International Symposium on Signal Processing and Its Applications, ISSPA 2001 ; Conference date: 13-08-2001 Through 16-08-2001",

}

Wong, MLD & Nandi, AK 2001, Automatic digital modulation recognition using spectral and statistical features with multi-layer perceptrons. in 6th International Symposium on Signal Processing and Its Applications., 950162, IEEE, pp. 390-393, 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001, Kuala Lumpur, Malaysia, 13/08/01. https://doi.org/10.1109/ISSPA.2001.950162

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T1 - Automatic digital modulation recognition using spectral and statistical features with multi-layer perceptrons

AU - Wong, M. L. Dennis

AU - Nandi, Asoke K.

PY - 2001

Y1 - 2001

N2 - 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.

AB - 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.

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U2 - 10.1109/ISSPA.2001.950162

DO - 10.1109/ISSPA.2001.950162

M3 - Conference contribution

AN - SCOPUS:84904295939

SN - 0780367030

SN - 9780780367036

SP - 390

EP - 393

BT - 6th International Symposium on Signal Processing and Its Applications

PB - IEEE

T2 - 6th International Symposium on Signal Processing and Its Applications, ISSPA 2001

Y2 - 13 August 2001 through 16 August 2001

ER -

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

Abstract

Conference

ASJC Scopus subject areas

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