DocumentCode :
2576562
Title :
Robust automatic modulation classification using cumulant features in the presence of fading channels
Author :
Xi, Songnan ; Wu, Hsiao-Chun
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana State Univ., Baton Rouge, LA
Volume :
4
fYear :
2006
fDate :
3-6 April 2006
Firstpage :
2094
Lastpage :
2099
Abstract :
Automatic modulation classification (AMQ is a scheme to automatically identify the modulation types of the transmitted signals by observing the received data samples in the presence of noise and fading channels. Nowadays, AMC plays an important role in both cooperative and non-cooperative communication applications. Very often, multipath fading channels result in the severe AMC performance degradation or induce large classification errors. The negative impacts of multipath fading channels on AMC have been discussed in the existing literature but no solution has ever been proposed so far to the best of our knowledge. In this paper, we propose a new robust AMC algorithm, which applies higher-order statistics (HOS) in a generic framework for blind channel estimation and pattern recognition. The advantage of our new algorithm is that, by carefully designing the essential features needed for AMC, we don´t really have to acquire the complete channel information and therefore it can be feasible without any a priori information in practice. The Monte Carlo simulation results show that our new AMC algorithm can achieve the much better classification accuracy than the existing AMC techniques
Keywords :
Monte Carlo methods; channel estimation; fading channels; higher order statistics; modulation; multipath channels; pattern recognition; Monte Carlo simulation; automatic modulation classification; blind channel estimation; cumulant features; fading channels; higher-order statistics; multipath fading channels; noncooperative communication applications; pattern recognition; AWGN; Blind equalizers; Fading; Higher order statistics; Pattern recognition; Robustness; Signal detection; Signal processing; Signal processing algorithms; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Conference_Location :
Las Vegas, NV
ISSN :
1525-3511
Print_ISBN :
1-4244-0269-7
Electronic_ISBN :
1525-3511
Type :
conf
DOI :
10.1109/WCNC.2006.1696619
Filename :
1696619
Link To Document :
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