Channel estimation in underwater cooperative OFDM system with amplify-and-forward relaying

Name: Channel estimation in underwater cooperative OFDM system with amplify-and-forward relaying
Author: Şenol, H., Panayırcı, E., Erdoğan, M., Uysal, Murat

İsim	Channel estimation in underwater cooperative OFDM system with amplify-and-forward relaying
Yazar	Şenol, H., Panayırcı, E., Erdoğan, M., Uysal, Murat
Basım Tarihi:	2012
Basım Yeri	- IEEE
Konu	Acoustic channels, Communication, Equalization, Diversity
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-1-4673-0920-2
Kayıt Numarası	c4009ec1-7220-417c-b372-98abb081a340
Lokasyon	Electrical & Electronics Engineering
Tarih	2012
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	This paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the resence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. We exploit the sparse structure of the channel impulse response to improve the performance of the channel estimation algorithm, due to the reduced number of taps to be estimated. The resulting novel algorithm initially estimates the overall sparse channel taps from the source to the destination as well as their locations using the matching pursuit (MP) approach. The correlated non-Gaussian effective noise is modeled as a Gaussian mixture. Based on the aussian mixture model, an efficient and low complexity algorithm is developed based on the combinations of the MP and the space-alternating generalized improve the estimates of the channel taps and their location as well as the noise distribution parameters in an iterative way. The proposed SAGE algorithm is designed in such a way that, by choosing the admissible hidden data properly on which the SAGE algorithm relies, a subset of parameters is updated for analytical tractability and the remaining parameters for faster convergence Computer simulations show that underwater acoustic (UWA) channel is estimated very effectively and the proposed algorithm has excellent symbol error rate and channel estimation performance.
DOI	10.1109/GLOCOM.2012.6503696

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Channel estimation in underwater cooperative OFDM system with amplify-and-forward relaying

Yazar Şenol, H., Panayırcı, E., Erdoğan, M., Uysal, Murat

Basım Tarihi 2012

Basım Yeri - IEEE

Konu Acoustic channels, Communication, Equalization, Diversity

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-1-4673-0920-2

Kayıt Numarası c4009ec1-7220-417c-b372-98abb081a340

Lokasyon Electrical & Electronics Engineering

Tarih 2012

Notlar Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Örnek Metin This paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the resence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. We exploit the sparse structure of the channel impulse response to improve the performance of the channel estimation algorithm, due to the reduced number of taps to be estimated. The resulting novel algorithm initially estimates the overall sparse channel taps from the source to the destination as well as their locations using the matching pursuit (MP) approach. The correlated non-Gaussian effective noise is modeled as a Gaussian mixture. Based on the aussian mixture model, an efficient and low complexity algorithm is developed based on the combinations of the MP and the space-alternating generalized improve the estimates of the channel taps and their location as well as the noise distribution parameters in an iterative way. The proposed SAGE algorithm is designed in such a way that, by choosing the admissible hidden data properly on which the SAGE algorithm relies, a subset of parameters is updated for analytical tractability and the remaining parameters for faster convergence Computer simulations show that underwater acoustic (UWA) channel is estimated very effectively and the proposed algorithm has excellent symbol error rate and channel estimation performance.

DOI 10.1109/GLOCOM.2012.6503696