Joint modulation classification and antenna number detection for MIMO systems
Yükleniyor...
Dosyalar
Tarih
2016-01-07
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
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
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
