A new key features extraction algorithm for automatic digital modulation recognition

Gangcan Sun; Jianping An; Jie Yang; Ronghua Zhou

doi:10.1109/WICOM.2007.575

A new key features extraction algorithm for automatic digital modulation recognition

Gangcan Sun^*, Jianping An, Jie Yang, Ronghua Zhou

^*Corresponding author for this work

Beijing Institute of Technology

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

9 Citations (Scopus)

Abstract

This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel-Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters-the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.

Original language	English
Title of host publication	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Pages	2306-2309
Number of pages	4
DOIs	https://doi.org/10.1109/WICOM.2007.575
Publication status	Published - 2007
Event	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 - Shanghai, China Duration: 21 Sept 2007 → 25 Sept 2007

Publication series

Name	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Conference

Conference	2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007
Country/Territory	China
City	Shanghai
Period	21/09/07 → 25/09/07

Keywords

Complexity
Features extraction
Modulation recognition

Access to Document

10.1109/WICOM.2007.575

Cite this

Sun, G., An, J., Yang, J., & Zhou, R. (2007). A new key features extraction algorithm for automatic digital modulation recognition. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 (pp. 2306-2309). Article 4340350 (2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007). https://doi.org/10.1109/WICOM.2007.575

@inproceedings{f5e55afdd26a4bd6a324f07ac6606634,

title = "A new key features extraction algorithm for automatic digital modulation recognition",

abstract = "This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel-Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters-the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.",

keywords = "Complexity, Features extraction, Modulation recognition",

author = "Gangcan Sun and Jianping An and Jie Yang and Ronghua Zhou",

year = "2007",

doi = "10.1109/WICOM.2007.575",

language = "English",

isbn = "1424413125",

series = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007",

pages = "2306--2309",

booktitle = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007",

note = "2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007 ; Conference date: 21-09-2007 Through 25-09-2007",

}

Sun, G, An, J , Yang, J & Zhou, R 2007, A new key features extraction algorithm for automatic digital modulation recognition. in 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007., 4340350, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, pp. 2306-2309, 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007, Shanghai, China, 21/09/07. https://doi.org/10.1109/WICOM.2007.575

A new key features extraction algorithm for automatic digital modulation recognition. / Sun, Gangcan; An, Jianping ; Yang, Jie et al.
2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007. 2007. p. 2306-2309 4340350 (2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007).

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

TY - GEN

T1 - A new key features extraction algorithm for automatic digital modulation recognition

AU - Sun, Gangcan

AU - An, Jianping

AU - Yang, Jie

AU - Zhou, Ronghua

PY - 2007

Y1 - 2007

N2 - This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel-Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters-the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.

AB - This paper introduces a new algorithm for key features extraction of digital modulations recognition. This new algorithm utilizes complexity approach in which a set of value of Lempel-Ziv complexity for identifying different types of modulations is developed. The set of value is derived from three important parameters-the instantaneous amplitude, phase, and frequency of the intercepted digitally modulated signals. Computer simulations of different types of band-limited digitally modulated signals corrupted by band-limited Gaussian noise sequences have been carried out to measure the performance of the developed algorithm.

KW - Complexity

KW - Features extraction

KW - Modulation recognition

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U2 - 10.1109/WICOM.2007.575

DO - 10.1109/WICOM.2007.575

M3 - Conference contribution

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SN - 1424413125

SN - 9781424413126

SN - 1424413125

SN - 9781424413126

T3 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

SP - 2306

EP - 2309

BT - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

T2 - 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007

Y2 - 21 September 2007 through 25 September 2007

ER -

Sun G, An J , Yang J , Zhou R. A new key features extraction algorithm for automatic digital modulation recognition. In 2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007. 2007. p. 2306-2309. 4340350. (2007 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2007). doi: 10.1109/WICOM.2007.575

A new key features extraction algorithm for automatic digital modulation recognition

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Keywords

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