{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T18:40:07Z","timestamp":1714502407032},"reference-count":19,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2012,10,24]],"date-time":"2012-10-24T00:00:00Z","timestamp":1351036800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans. Emerging Tel. Tech."],"published-print":{"date-parts":[[2013,1]]},"abstract":"ABSTRACT<\/jats:title>Accurate channel estimation is a challenging problem in a long term evolution systems especially in highly selective channels. In this paper, two iterative channel estimation algorithms are proposed to efficiently estimate channels over the orthogonal frequency\u2010division multiplexing (OFDM) symbols containing pilot symbols. The first one is proposed based on a simple interpolation algorithm, named as simple iterative frequency interpolation (SIFI), and improves the system performances with low implementation complexity. The second one is derived from the traditional expectation maximisation (EM) algorithm in OFDM systems. In order to deal with the \u2018null\u2019 subcarriers in the guard band and make the algorithm converge, the truncated singular value decomposition method is integrated to truncated singular value decomposition expectation\u2010maximisation (TSVD\u2010EM). Both channel estimation algorithms are followed by a simple linear interpolation in time domain to obtain channel estimates over the whole subframe. Complexities of the proposed algorithms are also analysed and compared. Simulation results show that the SIFI algorithm outperforms the traditional interpolation method with a low complexity, and the TSVD\u2010EM algorithm approaches the best achievable performance with a reduced complexity.Copyright \u00a9 2012 John Wiley & Sons, Ltd.<\/jats:p>","DOI":"10.1002\/ett.2582","type":"journal-article","created":{"date-parts":[[2012,10,24]],"date-time":"2012-10-24T20:51:08Z","timestamp":1351111868000},"page":"59-68","source":"Crossref","is-referenced-by-count":3,"title":["Two iterative channel estimation algorithms in single\u2010input multiple\u2010output (SIMO) LTE systems"],"prefix":"10.1002","volume":"24","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[{"name":"Sequans Communications 19 Le Parvis de la D\u00e9fense 92073 Paris France"}]},{"given":"Serdar","family":"Sezginer","sequence":"additional","affiliation":[{"name":"Sequans Communications 19 Le Parvis de la D\u00e9fense 92073 Paris France"}]}],"member":"311","published-online":{"date-parts":[[2012,10,24]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"van deBeekJ\u2010J EdforsO SandellM WilsonSK BorjessonPO.On channel estimation in ofdm systems InProceedings of the IEEE VTC\u201995 Chicago USA 1995;815\u2013819."},{"key":"e_1_2_9_3_1","doi-asserted-by":"crossref","unstructured":"AncoraA BonaC SlockD.Down\u2010sampled impulse response least\u2010squares channel estimation for LTE OFDMA InProceedings of the IEEE ICASSP\u201907 Honolulu HI 2007.","DOI":"10.1109\/ICASSP.2007.366530"},{"key":"e_1_2_9_4_1","doi-asserted-by":"crossref","unstructured":"OmarS AncoraA SlockD.Performance analysis of general pilot\u2010aided linear channel estimation in LTE OFDMA systems with application to simplified MMSE schemes InProceedings of the IEEE PIMRC\u201908 Cannes France 2008;1\u20136.","DOI":"10.1109\/PIMRC.2008.4699619"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/ett.1461"},{"key":"e_1_2_9_6_1","unstructured":"HoeherP KaiserS RobertsonP.Pilot\u2010symbol\u2010aided channel estimation in time and frequency InProceedings of the IEEE GLOBECOM\u201997 Phoenix USA 1997;90\u201396."},{"key":"e_1_2_9_7_1","unstructured":"HoeherP.TCM on frequency\u2010selective land\u2010mobile fading channels InProceedings of the Tirrenia International Workshop on Digital Communications Tirrenia Italy 1991;317\u2013328."},{"key":"e_1_2_9_8_1","unstructured":"HoeherP KaiserS RobertsonP.Two\u2010dimensional pilot\u2010symbol\u2010aided channel estimation by Wiener filtering InProceedings of the IEEE ICASSP\u201997 Munich Germany 1997;1845\u20131848."},{"key":"e_1_2_9_9_1","unstructured":"BerrouC GlavieuxA ThitimajshimaP.Near shannon limit error\u2010correcting coding and decoding: Turbo\u2010codes InProceedings of the ICC\u201993. 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