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International Journal of Engineering، جلد ۳۴، شماره ۶، صفحات ۱۴۷۵-۱۴۸۵

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عنوان انگلیسی A General Framework for Estimating Channel of Orthogonal Frequency Division Multiplexing Systems by Utilizing Sparse Representation
چکیده انگلیسی مقاله Channel estimation is a crucial task for orthogonal frequency division multiplexing (OFDM) modulation-based systems since this estimation is used for compensating impacts of a wireless channel. Recently, sparse representation (SR) is proposed for this task as wireless channels are considered as a sparse signal. However, SR considers sparse as the main feature and omit other features of the channel while estimating the channel. In this paper, we propose a general framework for utilizing other features of the channel in sparse channel estimation for OFDM systems, while these features are omitted in conventional sparse methods. In this regard, by utilizing maximum a posterior (MAP) estimation and defining new parameters, these features are conveyed into sparse channel estimation process to improve channel estimation. The simulation results indicate that our proposed framework not only improves the estimated parameter, but also reduces the number of resources such as the number of estimation pilots or transmitted power.
کلیدواژه‌های انگلیسی مقاله Sparse representation,OFDM Sparse Channel Estimation,Weighted sparse

نویسندگان مقاله S.H. HashemiRafsanjani |
Department of Digital Communication, ICT Research Center, Tehran, Iran

S. Ghazi-Maghrebi |
Communication Department, college of Electrical Engineering, Yadegar-e-Imam Khomeini, Shahr-e-Rey branch, Islamic Azad University, Tehran, Iran


نشانی اینترنتی https://www.ije.ir/article_130654_e4d48c916fc03bc9c2601b2d7d1c6f5c.pdf
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