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A three-step design procedure is presented to optimize the prediction performance. Firstly, we establish the Gilbert-Elliot channel model based on first-order Markov chain for satellite communication downlink and take advantage of smoothing average to obtain channel observed values. At a second stage, eigenvalue decomposition method is applied to predict future long-range channel state instead of weighted prediction. Finally, combining variable step-size least mean squares and adaptive long-range prediction, we introduce the VSS-ALRP algorithm to predict LMS channel fading signals in the case of \u201c good\u201d state, and the obtained prediction results would be revised based on the linear prediction of error when shadowing condition is in the \u201c bad\u201d state. Simulation results show that the proposed scheme can not only offer an accurate prediction for long-range channel state and fading signals over the two-state Gilbert-Elliot channel model and greatly enhance the fading signals\u2019 autocorrelation, but also have considerably better performance than long-range prediction (LRP) algorithm from the results of mean square error (MSE) and correlation coefficient. <\/jats:p>","DOI":"10.1155\/2015\/483937","type":"journal-article","created":{"date-parts":[[2015,2,23]],"date-time":"2015-02-23T23:08:10Z","timestamp":1424732890000},"page":"483937","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["An Alternating Variable Step-Size Adaptive Long-Range Prediction of LMS Fading Signals"],"prefix":"10.1177","volume":"11","author":[{"given":"Xi","family":"Liao","sequence":"first","affiliation":[{"name":"College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2228-6575","authenticated-orcid":false,"given":"Rui","family":"Xue","sequence":"additional","affiliation":[{"name":"College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan-feng","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2015,2,23]]},"reference":[{"key":"B1-2015-483937","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2011.2151261"},{"first-page":"4504","volume-title":"Proceedings of the IEEE International Conference on Communications (ICC '13)","author":"Tarchi D.","key":"B2-2015-483937"},{"key":"B3-2015-483937","doi-asserted-by":"publisher","DOI":"10.1109\/icist.2012.6221759"},{"volume-title":"Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication (ICUIMC '11)","author":"Kang J. 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