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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Extended 4point approximation of the optimal QAM modulation detector
 Institute of Electrical and Electronics Engineers IEEE; IEEE Communications Society: IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2014. Vol.2 : Washington, DC, USA, 2  5 September 2014 Piscataway, NJ: IEEE, 2014 ISBN: 9781479949120 ISBN: 9781479949113 pp.743747 
 International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) <25, 2014, Washington/DC> 

 English 
 Conference Paper 
 Fraunhofer ESK () 
 approximation theory; computational complexity; maximum likelihood estimation; quadrature amplitude modulation; QAM; maximum likelihood; ML; modulation detector; QAM modulation detection; computational efficient approximation; Smartgrid Communication; Wireless Networks 
Abstract
Maximum likelihood (ML) based modulation detector is optimal in the sense that the detection error probability is minimized if no prior probability of candidate modulations is available at the detector. However, the high computational complexity of the MLbased detector strongly limits its practical implementation. This contribution deals with a computational efficient approximation of the MLbased method, which extends the existing 4point approximation by utilizing the special arrangement of constellation points of squareformed quadrature amplitude modulation (QAM) schemes. Simulation results show that the extended 4point approximation based detector is able to provide nearly optimal performance.