A low complexity modulation classification algorithm for mimo systems

Muhlhaus, Michael S, Öner, Mustafa Mengüç, Dobre, Octavia A and Jondral, Friedrich (2013) A low complexity modulation classification algorithm for mimo systems. IEEE Communications Letters, 17 (10). pp. 1881-1884. ISSN 1089-7798

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Abstract

A novel algorithm is proposed for automatic modulation classification in multiple-input multiple-output spatial multiplexing systems, which employs fourth-order cumulants of the estimated transmit signal streams as discriminating features and a likelihood ratio test (LRT) for decision making. The asymptotic likelihood function of the estimated feature vector is analytically derived and used with the LRT. Hence, the algorithm can be considered as asymptotically optimal for the employed feature vector when the channel matrix and noise variance are known. Both the case with perfect channel knowledge and the practically more relevant case with blind channel estimation are considered. The results show that the proposed algorithm provides a good classification performance while exhibiting a significantly lower computational complexity when compared with conventional algorithms.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Sensor Technology Research Centre
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television > TK5103.2 Wireless communication systems
Depositing User: Mustafa Menguc Oner
Date Deposited: 30 Jun 2017 13:47
Last Modified: 05 Jul 2017 11:18
URI: http://sro.sussex.ac.uk/id/eprint/68907
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