DocumentCode :
1715960
Title :
Adaptive pilot based modulation identification and channel estimation for OFDM systems
Author :
Karabacak, Murat ; Cirpan, Hakan A. ; Arslan, Hüseyin
Author_Institution :
Dept. of Electr. Eng., Istanbul Univ., Istanbul, Turkey
fYear :
2010
Firstpage :
730
Lastpage :
735
Abstract :
Adaptive modulation is an important method for effective usage of channel capacity in Orthogonal Frequency Division Multiplexing (OFDM) systems. Modulation identification algorithms unnecessitate the need of transferring the modulation information to the receiver, thereby these algorithms are very effective methods to increase the channel capacity. However, in practice, separate two sets of pilot symbols are used to identify the modulation type and to estimate the channel impulse response. In this paper, we propose one set of pilot symbols to get information about the channel and the modulation type, jointly. These pilots are named as “adaptive pilots” because they are related with the modulation type. Monte Carlo simulations are performed to observe the performance of the proposed adaptive pilot method and to compare with previously presented algorithm given in [1]. Simulation results indicate that the proposed adaptive pilots successfully help to identify correctly the modulation type without affecting the performance of the channel estimation.
Keywords :
Monte Carlo methods; OFDM modulation; adaptive modulation; channel capacity; channel estimation; transient response; Monte Carlo simulations; OFDM systems; adaptive modulation identification; adaptive pilot method; channel capacity; channel estimation; channel impulse response; orthogonal frequency division multiplexing; Binary phase shift keying; Channel estimation; Cost function; Error analysis; OFDM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
Conference_Location :
Instanbul
Print_ISBN :
978-1-4244-8017-3
Type :
conf
DOI :
10.1109/PIMRC.2010.5671628
Filename :
5671628
Link To Document :
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