DocumentCode :
705910
Title :
Classification of qam signals for multicarrier systems
Author :
Edinger, Stefan ; Gaida, Markus ; Fliege, Norbert J.
Author_Institution :
Dept. of Electr. Eng., Univ. of Mannheim, Mannheim, Germany
fYear :
2007
fDate :
3-7 Sept. 2007
Firstpage :
464
Lastpage :
468
Abstract :
In this paper we highlight the benefit of automatic modulation classification (AMC) for quadrature amplitude modulation (QAM) constellations in the context of multicarrier transmission systems. Increasing computation power of multicarrier systems transceivers enables runtime adaptation of transmission parameters to cope with sudden changes of the noise conditions. AMC is a promising technique to verify that runtime adaptation was successful, and it can also be used in novel adaptation techniques. Using AMC, the modulation order for each subcarrier of the multicarrier system can be blindly detected, which reduces communication overhead during adaptation. In this work, we give an overview of existing AMC techniques, develop several novel low-complexity approaches and evaluate their performance.
Keywords :
quadrature amplitude modulation; radio transceivers; signal classification; AMC technique; QAM signal classification; automatic modulation classification; communication overhead; multicarrier system transceiver; multicarrier transmission system; noise condition; quadrature amplitude modulation; Constellation diagram; Europe; Quadrature amplitude modulation; Reliability; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
Type :
conf
Filename :
7098846
Link To Document :
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