Title:Iterative Detection for Unique Word OFDMAuthor(s):Werner Haselmayr, Christian Hofbauer, Bernhard Etzlinger, Andreas Springer, Mario HuemerAbstract:In this paper we consider a unique word OFDM (UW-OFDM) system with iterative detection, for which we explore two soft-input soft-output (SISO) detection algorithms: A LMMSE detector and a detector based on the generalized approximate message passing (GAMP) algorithm. For the GAMP based detector we propose additional simplifications suitable for UW-OFDM to further reduce the complexity while exhibiting only a small BER performance loss. As verified by Computer simulations, both algorithms show a significant BER Performance improvement over the iterations. Moreover, the GAMP based detector with the proposed simplifications outperforms the computational more complex LMMSE detector.Booktitle:IEEE Global Communications Conference (GLOBECOM 2014)ISBN:978-1-4799-3511-6Page Reference:page 3361-3366, 6 page(s)Publishing:12/2014