Nondata-Aided Joint Channel Estimation and Equalization for Ofdm Systems in Very Rapidly Varying Mobile Channels

dc.contributor.author Şenol, Habib
dc.contributor.author Şenol, Habib
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Panayırcı, Erdal
dc.contributor.author Poor, H. Vincent
dc.contributor.other Computer Engineering
dc.contributor.other Electrical-Electronics Engineering
dc.date.accessioned 2019-06-27T08:04:01Z
dc.date.available 2019-06-27T08:04:01Z
dc.date.issued 2012
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümü en_US
dc.department Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü en_US
dc.description.abstract This paper is concerned with the challenging and timely problem of joint channel estimation and equalization for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and very rapidly time varying channels. The resulting algorithm is based on the space alternating generalized expectation maximization-maximum a posteriori probability (SAGE-MAP) technique which is particularly well suited to multicarrier signal formats. The algorithm is implemented in the time-domain which enables one to use the Gaussian approximation of the transmitted OFDM samples. Consequently the averaging process of the nonpilot data symbols becomes analytically possible resulting in a feasible and computationally efficient channel estimation algorithm leading to a receiver structure that yields also an equalized output from which the data symbols are detected with excellent symbol error rate (SER) performance. Based on this Gaussian approximation the exact Bayesian Cramer Rao lower bound (CRLB) as well as the convergence rate of the algorithm are derived analytically. To reduce the computational complexity of the algorithm discrete Legendre orthogonal basis functions are employed to represent the rapidly time-varying fading channel. It is shown that depending on the normalized Doppler frequency only a small number of expansion coefficients is sufficient to approximate the channel very well and there is no need to know the correlation function of the input signal. The computational complexity of the algorithm is shown to be similar to O(NL) per detected data symbol and per SAGE-MAP algorithm cycle where N is the number of OFDM subcarriers and L is the number of multipath components. en_US]
dc.identifier.citationcount 35
dc.identifier.doi 10.1109/TSP.2012.2195657 en_US
dc.identifier.endpage 4253
dc.identifier.issn 1053-587X en_US
dc.identifier.issn 1053-587X
dc.identifier.issue 8
dc.identifier.scopus 2-s2.0-84863953708 en_US
dc.identifier.startpage 4236 en_US
dc.identifier.uri https://hdl.handle.net/20.500.12469/879
dc.identifier.uri https://doi.org/10.1109/TSP.2012.2195657
dc.identifier.volume 60 en_US
dc.identifier.wos WOS:000306517300024 en_US
dc.identifier.wosquality Q1
dc.institutionauthor Şenol, Habib en_US
dc.institutionauthor Panayirci, Erdal en_US
dc.language.iso en en_US
dc.publisher IEEE-INST Electrical Electronics Engineers Inc en_US
dc.relation.journal IEEE Transactions on Signal Processing en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 36
dc.subject Basis expansion model (BEM) en_US
dc.subject Joint channel estimation and equalization en_US
dc.subject Orthogonal Frequency-Division Multiplexing (OFDM) en_US
dc.subject Rapidly varying wireless channels en_US
dc.subject SAGE-MAP algorithm en_US
dc.title Nondata-Aided Joint Channel Estimation and Equalization for Ofdm Systems in Very Rapidly Varying Mobile Channels en_US
dc.type Article en_US
dc.wos.citedbyCount 36
dspace.entity.type Publication
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