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Military Technical Academy Review XXI, 2 (2011) 109-134
BLIND RECOGNITION OF ORTHOGONAL SPACE-TIME BLOCK CODES BASED ON THE KURTOSIS OF CROSS-CORRELATIONS LAGS
Arunas Mazeika 1, Koffi Clément Yao 2, Ludovic Collin 2, Ali Mansour 3, Roland Gautier ( ) 2
(01/06/2011)

In the communication interception framework (COMINT, i.e. COMmunication INTelligence), a quality coding scheme recognition is the first step that needs to be addressed in order to extract the information from intercepted signals. In this paper, we present a new blind recognition algorithm of Orthogonal Space-Time Block Codes (OSTBCs) based on a cross-correlation analysis over linear combinations of the transmitted signals. The latter analysis exploits the temporal redundancy and the structure of the OSTBCs. To classify the intercepted signals, different classification methods relying on the Kurtosis of cross-correlations have been considered. Experimental results show that our method performs well in a variety of conditions such as rough estimate of the signal bandwidth and the carrier frequency, presence of noise, channel unknown to the receiver and non-synchronism between the transmitter and the receiver. The study is carried out using the Alamouti code, but good results have been obtained using the proposed method in order to identify an OSTBC with 3 antennas in the transmitter.
1 :  Extraction et Exploitation de l'Information en Environnements Incertains (E3I2)
ENSTA Bretagne
2 :  Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC)
CNRS : UMR3192 – Université de Bretagne Occidentale - Brest – Université de Bretagne Sud – Institut Télécom – Télécom Bretagne – Université européenne de Bretagne – Institut Supérieur des Sciences et Technologies de Brest (ISSTB)
3 :  ECE Curtin University (ECE)
Curtin University
LAB-STICC_UBO_CACS_COM
Sciences de l'ingénieur/Traitement du signal et de l'image

Informatique/Traitement du signal et de l'image
Blind recognition – MIMO – OSTBC – Alamouti – Kurtosis – classification.