Title :
Robust QAM classification against frequency offset
Author :
Ohara, Shinji ; Oka, Ikuo ; Ata, Shingo
Author_Institution :
Grad. Sch. of Eng., Osaka City Univ., Osaka, Japan
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
In this paper, the robust QAM classification method against phase offsets has been proposed. In the proposed method, the amplitude and the square cosine moments are used for the classification. The classification error probability has been examined for 16QAM and 64QAM. Simulation results have shown that the proposed method gives the superior classification performance to the amplitude moments method.
Keywords :
error statistics; quadrature amplitude modulation; 16QAM; 64QAM; QAM classification; amplitude moments method; classification error probability; frequency offset; square cosine moments; Error probability; Frequency modulation; Moment methods; Quadrature amplitude modulation; Robustness; Signal to noise ratio;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5611810
