Blind modulation classification: A concept whose time has come

Octavia A. Dobre; Ali Abdi; Yeheskel Bar-Ness; Wei Su

doi:10.1109/SARNOF.2005.1426550

Blind modulation classification: A concept whose time has come

Octavia A. Dobre, Ali Abdi, Yeheskel Bar-Ness, Wei Su

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

110 Scopus citations

Abstract

In this paper we address the problem of identifying the modulation format of an incoming signal We review many existing techniques for digital modulation recognition in a systematic way, which helps the reader to see the main features of each technique. The goal is to provide useful guidelines for choosing appropriate classification algorithms for different modulations, from the large pool of available techniques. Furthermore, the performance of a benchmark classifier is presented, as well as its sensitivity to several model mismatches. At the end, open problems and possible directions for further research are briefly discussed.

Original language	English (US)
Title of host publication	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Pages	223-228
Number of pages	6
DOIs	https://doi.org/10.1109/SARNOF.2005.1426550
State	Published - 2005
Event	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication - Princeton, NJ, United States Duration: Apr 18 2005 → Apr 19 2005

Publication series

Name	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Volume	2005

Other

Other	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Country/Territory	United States
City	Princeton, NJ
Period	4/18/05 → 4/19/05

All Science Journal Classification (ASJC) codes

General Engineering

Access to Document

10.1109/SARNOF.2005.1426550

Cite this

@inproceedings{22229f48492248bd92d6e70856d8e451,

title = "Blind modulation classification: A concept whose time has come",

abstract = "In this paper we address the problem of identifying the modulation format of an incoming signal We review many existing techniques for digital modulation recognition in a systematic way, which helps the reader to see the main features of each technique. The goal is to provide useful guidelines for choosing appropriate classification algorithms for different modulations, from the large pool of available techniques. Furthermore, the performance of a benchmark classifier is presented, as well as its sensitivity to several model mismatches. At the end, open problems and possible directions for further research are briefly discussed.",

author = "Dobre, {Octavia A.} and Ali Abdi and Yeheskel Bar-Ness and Wei Su",

year = "2005",

doi = "10.1109/SARNOF.2005.1426550",

language = "English (US)",

isbn = "0780388542",

series = "2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication",

pages = "223--228",

booktitle = "2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication",

note = "2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication ; Conference date: 18-04-2005 Through 19-04-2005",

}

Dobre, OA, Abdi, A, Bar-Ness, Y & Su, W 2005, Blind modulation classification: A concept whose time has come. in 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication., 1426550, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, vol. 2005, pp. 223-228, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, Princeton, NJ, United States, 4/18/05. https://doi.org/10.1109/SARNOF.2005.1426550

Blind modulation classification: A concept whose time has come. / Dobre, Octavia A.; Abdi, Ali; Bar-Ness, Yeheskel et al.
2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication. 2005. p. 223-228 1426550 (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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PY - 2005

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N2 - In this paper we address the problem of identifying the modulation format of an incoming signal We review many existing techniques for digital modulation recognition in a systematic way, which helps the reader to see the main features of each technique. The goal is to provide useful guidelines for choosing appropriate classification algorithms for different modulations, from the large pool of available techniques. Furthermore, the performance of a benchmark classifier is presented, as well as its sensitivity to several model mismatches. At the end, open problems and possible directions for further research are briefly discussed.

AB - In this paper we address the problem of identifying the modulation format of an incoming signal We review many existing techniques for digital modulation recognition in a systematic way, which helps the reader to see the main features of each technique. The goal is to provide useful guidelines for choosing appropriate classification algorithms for different modulations, from the large pool of available techniques. Furthermore, the performance of a benchmark classifier is presented, as well as its sensitivity to several model mismatches. At the end, open problems and possible directions for further research are briefly discussed.

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BT - 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication

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ER -

Blind modulation classification: A concept whose time has come

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Other

All Science Journal Classification (ASJC) codes

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