Adaptive pilot based modulation identification and channel estimation for OFDM systems

Murat Karabacak*, Hakan A. Çirpan, Hüseyin Arslan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Pages730-735
Number of pages6
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010 - Istanbul, Turkey
Duration: 26 Sept 201030 Sept 2010

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

Conference

Conference2010 IEEE 21st International Symposium on Personal Indoor and Mobile Radio Communications, PIMRC 2010
Country/TerritoryTurkey
CityIstanbul
Period26/09/1030/09/10

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