DocumentCode :
2972522
Title :
Robust Maximum Likelihood Classification of Quadrature Amplitude Modulation
Author :
Shi, Qinghua ; Karasawa, Y.
Author_Institution :
Dept. of Electron. Eng., Univ. of Electro-Commun., Chofu, Japan
fYear :
2010
fDate :
18-21 April 2010
Firstpage :
1
Lastpage :
5
Abstract :
This paper is concerned with amplitude-based maximum likelihood classification for quadrature amplitude modulation formats in the presence of frequency offset. We first propose a simplified classification algorithm that incurs a small loss in performance. A general performance analysis is then elaborated, which can achieve a higher computational efficiency, compared with the existing one. By integrating blind time synchronization and signal-to-noise (SNR) estimation, we further develop a robust classifier that is able to deal with some commonly unknown system parameters including frequency offset, phase shift, time delay, and SNR.
Keywords :
Classification algorithms; Computational efficiency; Delay estimation; Frequency estimation; Frequency synchronization; Maximum likelihood estimation; Performance analysis; Performance loss; Quadrature amplitude modulation; Robustness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2010 IEEE
Conference_Location :
Sydney, Australia
ISSN :
1525-3511
Print_ISBN :
978-1-4244-6396-1
Type :
conf
DOI :
10.1109/WCNC.2010.5506437
Filename :
5506437
Link To Document :
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