Sualtı işbirlikli OFDM sistemleri için MP-SAGE kanal kestirimi

Name: Sualtı işbirlikli OFDM sistemleri için MP-SAGE kanal kestirimi
Author: Erdogan, M., Şenol, H., Panayırcı, E., Uysal, Murat

İsim	Sualtı işbirlikli OFDM sistemleri için MP-SAGE kanal kestirimi
Yazar	Erdogan, M., Şenol, H., Panayırcı, E., Uysal, Murat
Basım Tarihi:	2013
Konu	Sualtı akustik kanal kestirimi, Gauss karışım modeli, AF-OFDM, MP-SAGE
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	2165-0608
Kayıt Numarası	cf54200d-544f-4eec-9f8f-147eeeafa9eb
Lokasyon	Electrical & Electronics Engineering
Tarih	2013
Notlar	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Örnek Metin	In this paper, an efficient channel estimation algorithm is proposed for amplify-and-forward (AF) cooperative relay based orthogonal frequency division multiplexing (OFDM) system in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. The algorithm is based on the combinations of the matching pursuit (MP) and the space-alternating generalized expectation-maximization (SAGE) technique, to improve the estimates of the channel taps and their location as well as the Gaussian mixture noise distribution parameters in an iterative way. Computer simulations show that underwater acoustic channel is estimated very effectively and the proposed algorithm has excellent symbol error rate (SER) and channel estimation performance, as compared to the existing ones.
DOI	10.1109/SIU.2013.6531271

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Sualtı işbirlikli OFDM sistemleri için MP-SAGE kanal kestirimi

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

Basım Tarihi 2013

Konu Sualtı akustik kanal kestirimi, Gauss karışım modeli, AF-OFDM, MP-SAGE

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 2165-0608

Kayıt Numarası cf54200d-544f-4eec-9f8f-147eeeafa9eb

Lokasyon Electrical & Electronics Engineering

Tarih 2013

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

Örnek Metin In this paper, an efficient channel estimation algorithm is proposed for amplify-and-forward (AF) cooperative relay based orthogonal frequency division multiplexing (OFDM) system in the presence of sparse underwater acoustic channels and of the correlative non-Gaussian noise. The algorithm is based on the combinations of the matching pursuit (MP) and the space-alternating generalized expectation-maximization (SAGE) technique, to improve the estimates of the channel taps and their location as well as the Gaussian mixture noise distribution parameters in an iterative way. Computer simulations show that underwater acoustic channel is estimated very effectively and the proposed algorithm has excellent symbol error rate (SER) and channel estimation performance, as compared to the existing ones.

DOI 10.1109/SIU.2013.6531271