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Joint modulation classification and antenna number detection for MIMO systems

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journal contribution
posted on 2023-06-09, 05:15 authored by Merve Turan, Menguc OnerMenguc Oner, Hakan Çirpan
Noncooperative classification of the modulation type of communication signals finds application in both civilian and military contexts. Existing modulation classification methods for multiple-input multiple-output (MIMO) communication systems commonly require a priori information on the number of transmit antennas employed by the multiantenna transmitter, which, in most of the noncooperative scenarios involving modulation classi- fication, is unknown and needs to be blindly extracted from the received signal. Since the problems of MIMO modulation classification and detection of the number of transmit antennas are highly coupled, we propose a decision theoretic approach for spatial multiplexing MIMO systems that considers these two tasks as a joint multiple hypothesis testing problem. The proposed method exhibits a high performance even in moderate to low SNR regimes while requiring no a priori knowledge of the channel state information and the noise variance.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

IEEE Communications Letters

ISSN

1089-7798

Publisher

Institute of Electrical and Electronics Engineers

Issue

1

Volume

20

Page range

193-196

Department affiliated with

  • Engineering and Design Publications

Notes

(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2017-02-22

First Open Access (FOA) Date

2017-12-20

First Compliant Deposit (FCD) Date

2017-12-20

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