A low-complexity KL expansion-based channel estimator for OFDM systems

Basit Öğe Kaydı
dc.authorid0000-0001-5724-0839
dc.authorid0000-0002-3591-6567
dc.authorid0000-0001-7328-6626
dc.contributor.authorŞenol, Habiben_US
dc.contributor.authorÇırpan, Hakan Alien_US
dc.contributor.authorPanayırcı, Erdalen_US
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-05T16:05:05Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-05T16:05:05Z
dc.date.issued2005-04-05
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractThis paper first proposes a computationally efficient, pilot-aided linear minimum mean square error (MMSE) batch channel estimation algorithm for OFDM systems in unknown wireless fading channels. The proposed approach employs a convenient representation of the discrete multipath fading channel based on the Karhunen-Loeve (KL) orthogonal expansion and finds MMSE estimates of the uncorrelated KL series expansion coefficients. Based on such an expansion, no matrix inversion is required in the proposed MMSE estimator. Moreover, optimal rank reduction is achieved by exploiting the optimal truncation property of the KL expansion resulting in a smaller computational load on the estimation algorithm. The performance of the proposed approach is studied through analytical and experimental results. We then consider the stochastic Cramér-Rao bound and derive the closed-form expression for the random KL coefficients and consequently exploit the performance of the MMSE channel estimator based on the evaluation of minimum Bayesian MSE. We also analyze the effect of a modelling mismatch on the estimator performance. To further reduce the complexity, we extend the batch linear MMSE to the sequential linear MMSE estimator. With the fast convergence property and the simple structure, the sequential linear MMSE estimator provides an attractive alternative to the implementation of channel estimator.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationŞenol, H., Çırpan, H. A. & Panayırcı, E. (2005). A low-complexity KL expansion-based channel estimator for OFDM systems. EURASIP Journal on Wireless Communications and Networking, 2005(2), 163-174. doi:10.1155/WCN.2005.163en_US
dc.identifier.doi10.1155/WCN.2005.163
dc.identifier.endpage174
dc.identifier.issn1687-1472
dc.identifier.issue2
dc.identifier.scopus2-s2.0-24344497394
dc.identifier.scopusqualityQ1
dc.identifier.startpage163
dc.identifier.urihttps://hdl.handle.net/11729/2033
dc.identifier.urihttps://dx.doi.org/10.1155/WCN.2005.163
dc.identifier.volume2005
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPanayırcı, Erdalen_US
dc.institutionauthorid0000-0001-7328-6626
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer International Publishingen_US
dc.relation.ispartofEurasip Journal on Wireless Communications and Networkingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectChannel estimationen_US
dc.subjectMMSE estimationen_US
dc.subjectOFDM systemsen_US
dc.titleA low-complexity KL expansion-based channel estimator for OFDM systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim
İsim:
2033.pdf
Boyut:
751.52 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Publisher's Version
İndir

Koleksiyon

Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü
Scopus İndeksli Yayınlar Koleksiyonu