Contributions to modulation recognition for cooperative MIMO systems

Résumé

With the increasing development of wireless communication systems, algorithms and techniques for multiple-input multiple-output (MIMO) signal interception have recently received significant attention. Modulation recognition represents an essential step in the signal interception process. It has attracted considerable interest on the part of the military in many applications, such as, communication intelligence, electronic support measures and spectrum surveillance. Within the context of cognitive radio, recent and rapid developments in software defined radio have given modulation recognition greater importance in civil applications. Furthermore, cooperative communication based on relay nodes has gained much attention since it can ensure better controlled transmission quality and improved access coverage. Thus, the concept of relaying has been put into the standard specifications of mobile broadband communication systems, such as worldwide interoperability for microwave access (WiMAX) and long-term evolution-advanced (LTE- A). The aim of this thesis is to design modulation recognition algorithms for cooperative MIMO systems based on a pattern recognition approach. First, we propose a modulation recognition algorithm for cooperative MIMO systems over uncorrelated channels with perfect channel state information (CSI). Then, we study the utility of MIMO multi-relaynetworks for modulation recognition over spatially-correlated channels with imperfect CSI. In this work, the expression of the ergodic capacity for the proposed transmission system has also been derived in order to evaluate its performance in the presence of spatial correlation and imperfect CSI. Finally, we design an algorithm of superposed modulations recognition dedicated to two-way relaying channel. Simulations are provided to assess the efficiency of the proposed algorithms using the average probability of correct recognition.

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