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Yayın Joint modulation and space time block code classification for mimo systems(Işık Üniversitesi, 2014-10-31) Bayer, Özgür; Öner, Mustafa Mengüç; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Elektronik Mühendisliği Yüksek Lisans ProgramıIn this thesis, the problems of modulation classification and space time block code (STBC) classification for MIMO systems are investigated. Two existing MIMO modulation type classification algorithms, an average likelihood ratio test, which is optimal in Bayesian sense, and a suboptimal Hybrid Likelihood ratio test, are investigated in detail. Subsequently, we have focused on improving these existing algorithms by using blind channel estimation methods with better performance, such as the Expectation–Maximization algorithm for spatial multiplexing which is known to converge to the maximum likelihood estimate, and a higher order statistic based estimation method in the case of signals which use space time block codes. Subsequently, we have proposed a novel approach for the task of modulation and STBC type classification, in which these two classification problems are considered as a single as joint classification problem, in contrast to the existing works in the literature. Based on this joint classification approach, we have proposed novel likelihood based joint STBC and modulation-type classification algorithms for 2 and 3 antenna cases.Yayın Joint space time block code and modulation classification for MIMO systems(Institute of Electrical and Electronics Engineers Inc, 2017-02) Bayer, Özgür; Öner, Mustafa MengüçNon-cooperative identification of unknown communication signals is a popular research area with widespread civilian and military applications. Multiple input multiple output (MIMO) systems employing multi-antenna transmission pose new challenges to signal identification systems, such as the classification of the employed space time block code (STBC) and modulation in the presence of the self-interference inherent to the multi-antenna transmission. In the existing literature, these two classification problems have been handled separately, despite the fact that they are interrelated. This letter presents a novel approach to MIMO signal identification by considering the modulation type and the STBC classification tasks as a joint classification problem.
