Space Time Block Code classification for MIMO signals exploiting cyclostationarity

Merve Turan; Menguc Oner; Hakan Cirpan

doi:10.1109/ICC.2015.7249115

Space Time Block Code classification for MIMO signals exploiting cyclostationarity

Merve Turan, Menguc Oner, Hakan Cirpan

Department of Electronics and Communication Engineering

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

5 Citations (Scopus)

Abstract

Blind and noncooperative identification of the transmission parameters of unknown communication signals has been employed both in military and civilian applications. Multiple-Input-Multiple-Output (MIMO) transmission systems emerging in the last decade pose new challenges to the signal identification systems, one of which is the identification of the Space-Time Block Code (STBC) used in the transmission. In this work, we present a novel STBC classification algorithm that exploits the joint wide sense cyclostationary characteristics of the coded transmit signals as discriminating features. Compared to existing algorithms, the proposed method can discriminate between a large number of different STBCs.

Original language	English
Title of host publication	2015 IEEE International Conference on Communications, ICC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	4996-5001
Number of pages	6
ISBN (Electronic)	9781467364324
DOIs	https://doi.org/10.1109/ICC.2015.7249115
Publication status	Published - 9 Sept 2015
Event	IEEE International Conference on Communications, ICC 2015 - London, United Kingdom Duration: 8 Jun 2015 → 12 Jun 2015

Publication series

Name	IEEE International Conference on Communications
Volume	2015-September
ISSN (Print)	1550-3607

Conference

Conference	IEEE International Conference on Communications, ICC 2015
Country/Territory	United Kingdom
City	London
Period	8/06/15 → 12/06/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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10.1109/ICC.2015.7249115

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Turan, M., Oner, M., & Cirpan, H. (2015). Space Time Block Code classification for MIMO signals exploiting cyclostationarity. In 2015 IEEE International Conference on Communications, ICC 2015 (pp. 4996-5001). Article 7249115 (IEEE International Conference on Communications; Vol. 2015-September). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2015.7249115

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title = "Space Time Block Code classification for MIMO signals exploiting cyclostationarity",

abstract = "Blind and noncooperative identification of the transmission parameters of unknown communication signals has been employed both in military and civilian applications. Multiple-Input-Multiple-Output (MIMO) transmission systems emerging in the last decade pose new challenges to the signal identification systems, one of which is the identification of the Space-Time Block Code (STBC) used in the transmission. In this work, we present a novel STBC classification algorithm that exploits the joint wide sense cyclostationary characteristics of the coded transmit signals as discriminating features. Compared to existing algorithms, the proposed method can discriminate between a large number of different STBCs.",

author = "Merve Turan and Menguc Oner and Hakan Cirpan",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Communications, ICC 2015 ; Conference date: 08-06-2015 Through 12-06-2015",

year = "2015",

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doi = "10.1109/ICC.2015.7249115",

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Turan, M, Oner, M & Cirpan, H 2015, Space Time Block Code classification for MIMO signals exploiting cyclostationarity. in 2015 IEEE International Conference on Communications, ICC 2015., 7249115, IEEE International Conference on Communications, vol. 2015-September, Institute of Electrical and Electronics Engineers Inc., pp. 4996-5001, IEEE International Conference on Communications, ICC 2015, London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICC.2015.7249115

Space Time Block Code classification for MIMO signals exploiting cyclostationarity. / Turan, Merve; Oner, Menguc; Cirpan, Hakan.
2015 IEEE International Conference on Communications, ICC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 4996-5001 7249115 (IEEE International Conference on Communications; Vol. 2015-September).

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

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AU - Oner, Menguc

AU - Cirpan, Hakan

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Y1 - 2015/9/9

N2 - Blind and noncooperative identification of the transmission parameters of unknown communication signals has been employed both in military and civilian applications. Multiple-Input-Multiple-Output (MIMO) transmission systems emerging in the last decade pose new challenges to the signal identification systems, one of which is the identification of the Space-Time Block Code (STBC) used in the transmission. In this work, we present a novel STBC classification algorithm that exploits the joint wide sense cyclostationary characteristics of the coded transmit signals as discriminating features. Compared to existing algorithms, the proposed method can discriminate between a large number of different STBCs.

AB - Blind and noncooperative identification of the transmission parameters of unknown communication signals has been employed both in military and civilian applications. Multiple-Input-Multiple-Output (MIMO) transmission systems emerging in the last decade pose new challenges to the signal identification systems, one of which is the identification of the Space-Time Block Code (STBC) used in the transmission. In this work, we present a novel STBC classification algorithm that exploits the joint wide sense cyclostationary characteristics of the coded transmit signals as discriminating features. Compared to existing algorithms, the proposed method can discriminate between a large number of different STBCs.

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BT - 2015 IEEE International Conference on Communications, ICC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Communications, ICC 2015

Y2 - 8 June 2015 through 12 June 2015

ER -

Space Time Block Code classification for MIMO signals exploiting cyclostationarity

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