Sparse channel estimation for OFDM-based underwater acoustic systems in rician fading with a new OMP-MAP algorithm

Name: Sparse channel estimation for OFDM-based underwater acoustic systems in rician fading with a new OMP-MAP algorithm
Author: Panayirci, E., Altabbaa, M. T., Uysal, Murat, Poor, H. V.

İsim	Sparse channel estimation for OFDM-based underwater acoustic systems in rician fading with a new OMP-MAP algorithm
Yazar	Panayirci, E., Altabbaa, M. T., Uysal, Murat, Poor, H. V.
Basım Tarihi:	2019-03-15
Basım Yeri	- IEEE
Konu	Underwater acoustic channel estimation, Equalization, OFDM, Orthogonal matching pursuit, MAP estimation
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1053-587X
Kayıt Numarası	6cc04f7e-b98d-4eca-a363-82a71d04b8b1
Lokasyon	Electrical & Electronics Engineering
Tarih	2019-03-15
Notlar	TÜBİTAK ; National Science Foundation (NSF) ; TUBITAK under 2219 International Fellowship Program
Örnek Metin	In this paper, a new channel estimation algorithm is proposed that exploits channel sparsity in the time domain for an orthogonal frequency division multiplexing (OFDM)-based underwater acoustical (UWA) communications systems in the presence of Rician fading. A path-based channel model is used, in which the channel is described by a limited number of paths, each characterized by a delay, Doppler scale, and attenuation factor. The resulting algorithm initially estimates the overall sparse channel tap delays and Doppler shifts using a compressed sensing approach, in the form of the orthogonal matching pursuit (OMP) algorithm. Then, a computationally efficient and novel channel estimation algorithm is developed by combining the OMP and maximum a posteriori probability (MAP) techniques for estimating the sparse complex channel path gains whose prior densities have complex Gaussian distributions with unknown mean and variance vectors, where a computationally efficient maximum likelihood algorithm is proposed for their estimation. Monte Carlo simulation results show that the mean square error and symbol error rate performances of the OMP-MAP algorithm uniformly outperforms the conventional OMP-based channel estimation algorithm, in case of uncoded OFDM-based UWA communications systems.
DOI	10.1109/TSP.2019.2893841
Cilt	67

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Sparse channel estimation for OFDM-based underwater acoustic systems in rician fading with a new OMP-MAP algorithm

Yazar Panayirci, E., Altabbaa, M. T., Uysal, Murat, Poor, H. V.

Basım Tarihi 2019-03-15

Basım Yeri - IEEE

Konu Underwater acoustic channel estimation, Equalization, OFDM, Orthogonal matching pursuit, MAP estimation

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1053-587X

Kayıt Numarası 6cc04f7e-b98d-4eca-a363-82a71d04b8b1

Lokasyon Electrical & Electronics Engineering

Tarih 2019-03-15

Notlar TÜBİTAK ; National Science Foundation (NSF) ; TUBITAK under 2219 International Fellowship Program

Örnek Metin In this paper, a new channel estimation algorithm is proposed that exploits channel sparsity in the time domain for an orthogonal frequency division multiplexing (OFDM)-based underwater acoustical (UWA) communications systems in the presence of Rician fading. A path-based channel model is used, in which the channel is described by a limited number of paths, each characterized by a delay, Doppler scale, and attenuation factor. The resulting algorithm initially estimates the overall sparse channel tap delays and Doppler shifts using a compressed sensing approach, in the form of the orthogonal matching pursuit (OMP) algorithm. Then, a computationally efficient and novel channel estimation algorithm is developed by combining the OMP and maximum a posteriori probability (MAP) techniques for estimating the sparse complex channel path gains whose prior densities have complex Gaussian distributions with unknown mean and variance vectors, where a computationally efficient maximum likelihood algorithm is proposed for their estimation. Monte Carlo simulation results show that the mean square error and symbol error rate performances of the OMP-MAP algorithm uniformly outperforms the conventional OMP-based channel estimation algorithm, in case of uncoded OFDM-based UWA communications systems.

DOI 10.1109/TSP.2019.2893841

Cilt 67