Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels

Yu Liu; Alexander M. Haimovich; Wei Su; Emmanuel Kanterakis

doi:10.1109/CISS.2015.7086878

Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels

Yu Liu, Alexander M. Haimovich, Wei Su, Emmanuel Kanterakis

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

3 Scopus citations

Abstract

Likelihood-based algorithms identify the modulation of the transmitted signal based on the computation of the likelihood function of received signals under different hypotheses (modulation formats). An important class of likelihood-based algorithms for modulation classification problems first treats the unknown channels as deterministic, and replaces the channels by their estimates. In this paper, a novel theoretical bound on the performance of this class of algorithms is proposed for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. The performance bound is developed from the Cramer-Rao bound (CRB) of blind channel estimation. It provides a useful benchmark against which it is possible to compare the performance of modulation classification algorithms, and is tighter than the theoretical bound derived based on perfect channel knowledge.

Original language	English (US)
Title of host publication	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479984282
DOIs	https://doi.org/10.1109/CISS.2015.7086878
State	Published - Apr 15 2015
Event	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 - Baltimore, United States Duration: Mar 18 2015 → Mar 20 2015

Publication series

Name	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015

Other

Other	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
Country/Territory	United States
City	Baltimore
Period	3/18/15 → 3/20/15

All Science Journal Classification (ASJC) codes

Information Systems

Keywords

Cramer-Rao bounds
MIMO
modulation classification
theoretical bound

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10.1109/CISS.2015.7086878

Cite this

Liu, Y., Haimovich, A. M., Su, W., & Kanterakis, E. (2015). Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 Article 7086878 (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2015.7086878

Liu, Yu ; Haimovich, Alexander M. ; Su, Wei et al. / Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015).

@inproceedings{6be2e194ba5843cb888e651fde253a11,

title = "Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels",

abstract = "Likelihood-based algorithms identify the modulation of the transmitted signal based on the computation of the likelihood function of received signals under different hypotheses (modulation formats). An important class of likelihood-based algorithms for modulation classification problems first treats the unknown channels as deterministic, and replaces the channels by their estimates. In this paper, a novel theoretical bound on the performance of this class of algorithms is proposed for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. The performance bound is developed from the Cramer-Rao bound (CRB) of blind channel estimation. It provides a useful benchmark against which it is possible to compare the performance of modulation classification algorithms, and is tighter than the theoretical bound derived based on perfect channel knowledge.",

keywords = "Cramer-Rao bounds, MIMO, modulation classification, theoretical bound",

author = "Yu Liu and Haimovich, {Alexander M.} and Wei Su and Emmanuel Kanterakis",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 ; Conference date: 18-03-2015 Through 20-03-2015",

year = "2015",

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doi = "10.1109/CISS.2015.7086878",

language = "English (US)",

series = "2015 49th Annual Conference on Information Sciences and Systems, CISS 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Liu, Y, Haimovich, AM, Su, W & Kanterakis, E 2015, Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. in 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015., 7086878, 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015, Institute of Electrical and Electronics Engineers Inc., 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015, Baltimore, United States, 3/18/15. https://doi.org/10.1109/CISS.2015.7086878

Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. / Liu, Yu; Haimovich, Alexander M.; Su, Wei et al.
2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7086878 (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015).

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

TY - GEN

T1 - Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels

AU - Liu, Yu

AU - Haimovich, Alexander M.

AU - Su, Wei

AU - Kanterakis, Emmanuel

PY - 2015/4/15

Y1 - 2015/4/15

N2 - Likelihood-based algorithms identify the modulation of the transmitted signal based on the computation of the likelihood function of received signals under different hypotheses (modulation formats). An important class of likelihood-based algorithms for modulation classification problems first treats the unknown channels as deterministic, and replaces the channels by their estimates. In this paper, a novel theoretical bound on the performance of this class of algorithms is proposed for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. The performance bound is developed from the Cramer-Rao bound (CRB) of blind channel estimation. It provides a useful benchmark against which it is possible to compare the performance of modulation classification algorithms, and is tighter than the theoretical bound derived based on perfect channel knowledge.

AB - Likelihood-based algorithms identify the modulation of the transmitted signal based on the computation of the likelihood function of received signals under different hypotheses (modulation formats). An important class of likelihood-based algorithms for modulation classification problems first treats the unknown channels as deterministic, and replaces the channels by their estimates. In this paper, a novel theoretical bound on the performance of this class of algorithms is proposed for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. The performance bound is developed from the Cramer-Rao bound (CRB) of blind channel estimation. It provides a useful benchmark against which it is possible to compare the performance of modulation classification algorithms, and is tighter than the theoretical bound derived based on perfect channel knowledge.

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KW - modulation classification

KW - theoretical bound

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Liu Y, Haimovich AM, Su W, Kanterakis E. Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels. In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7086878. (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015). doi: 10.1109/CISS.2015.7086878

Theoretical bound on modulation classification for multiple-input multiple-output (MIMO) systems over unknown, flat fading channels

Abstract

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All Science Journal Classification (ASJC) codes

Keywords

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