Matched Filter Based Algorithm for Blind Recognition of OFDM Systems

In the cognitive radio context, sensing process is a crucial task. The cognitive devise has to be able to detect and to identify several radio systems. As more standards are now based on OFDM modulation the paper aims with the parameters estimation of such a modulation. All actual OFDM-based standards differ from their subcarrier spacing therefore it will be ingenious to focus on this parameter to identify these systems in a non data aided context. We propose a new efficient algorithm based on the matched filter principle. The behavior of the proposed approach will be studied in the context of practical impairments like frequency and/or time offsets and a multi-paths fading channel. Finally, the performance of the proposed algorithm will be evaluated in contrast with the state of art methods by means of computer simulations.