Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2020
Title: Pilot-symbol-aided iterative channel estimation for OFDM-based systems
Authors: Özbek, Berna
Le Ruyet, Didier
Panazio, Cristiano
Keywords: Orthogonal frequency division multiplexing
Channel decoder
EM algorithms
Iterative channel estimation
Virtual pilots
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Özbek, B., Le Ruyet, D., and Panazio, C. (2005). Pilot-symbol-aided iterative channel estimation for OFDM-based systems. Paper presented at 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey (pp. 2290-2293). IEEE.
Abstract: In this paper, we propose a pilot-symbol-aided iterative channel estimation for coded OFDM-based systems. We use the symbol APP provided by the channel decoder to form groups of virtual pilots. According to their reliabilities, we combine these groups to improve the channel estimation. We also compare the proposed algorithm with the EM algorithm. Orthogonal frequency division multiplexing (OFDM) based systems are strong candidates for an air interface of future fourth-generation mobile wireless systems which provide high data rates and high mobility. In order to achieve the potential advantages of OFDM-based systems, the channel coefficients should be estimated with minimum error. The channel estimation can be improved using more pilot symbols [1]. However, it causes data rate reduction or bandwidth expansion. Therefore, spectrally efficient channel estimation techniques should be considered. In this case, the iterative techniques provide an improvement on the channel estimator performance without requiring additional pilots.
Description: 13th European Signal Processing Conference, EUSIPCO 2005; Antalya; Turkey; 4 September 2005 through 8 September 2005
URI: http://hdl.handle.net/11147/2020
ISBN: 9781604238211
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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