A novel algorithm for MIMO signal classification using higher-order cumulants
Yükleniyor...
Dosyalar
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Automatic modulation classification (AMC) of unknown communications signals is employed in both commercial and military applications, such as cognitive radio, spectrum surveillance, and electronic warfare. Most of the AMC methods proposed in the literature are developed for systems with a single transmit antenna. In this paper, an AMC algorithm for multiple-input multiple-output (MIMO) signals is proposed, which is based on higher-order cumulants. The use of cumulants with different orders, as well as their combinations as feature vectors are investigated. The ideal case of a priori knowledge of the channel state information (CSI) is considered, along with a setting of practical relevance, where the channel matrix is blindly estimated through independent component analysis. The performance of the proposed algorithm with different features is evaluated through simulations and compared with that of the average likelihood ratio test (ALRT).
Açıklama
Anahtar Kelimeler
Automatic modulation classification, Multiple-input multiple-output, Independent component analysis, Blind source separation, Higher-order cumulants
Kaynak
WoS Q Değeri
N/A
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Muhlhaus, M. S., Öner, M. M., Dobre, O. A., Jakel, H. U. & Jondral, F. K. (2013). A novel algorithm for MIMO signal classification using higher-order cumulants. Paper presented at the 2013 IEEE Radio and Wireless Symposium, 7-9. doi:10.1109/RWS.2013.6486623
