Joint modulation classification and antenna number detection for MIMO systems

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Tarih

2016-01-07

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Yayıncı

IEEE

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

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 classification, 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.

Açıklama

Anahtar Kelimeler

MIMO communication, Modulation, Transmitting antennas, Channel estimation, MIMO, Maximum likelihood estimation, Modulation, Receiving antennas, Transmitting antennas, Automatic modulation classification, Minimum description length, Multiple-input multiple-output

Kaynak

IEEE Communications Letters

WoS Q Değeri

Q2
Q2

Scopus Q Değeri

Q1

Cilt

20

Sayı

1

Künye

Öner, M. M., Turan, M. & Çırpan, H. A. (2016). Joint modulation classification and antenna number detection for MIMO systems. IEEE Communications Letters, 20(1), 193-196. doi:10.1109/LCOMM.2015.2500898