{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:38:45Z","timestamp":1753886325672,"version":"3.41.2"},"reference-count":7,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2009,7,12]],"date-time":"2009-07-12T00:00:00Z","timestamp":1247356800000},"content-version":"vor","delay-in-days":192,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2009,1]]},"abstract":"<jats:p>The paper deals with carrier recovery based on pilot symbols in single\u2010carrier systems. Wiener\u2032s method is used to determine the optimal unconstrained filter in estimation of phase noise assuming that a sequence of equally spaced pilot symbols is available. Our analysis allows to capture two effects that are not considered in the existing literature: the impact of aliasing due to sampling of the phase noise sequence at the pilot rate and the cyclostationary nature of the estimate hence of its performance. Experimental results are derived also for the case, where the filter is constrained to the cascade of two moving averages. These results show that, in the considered example, the mean\u2010square phase error of the constrained filter is within 0.35\u2009dB from the MSE of the optimal filter.<\/jats:p>","DOI":"10.1155\/2009\/645615","type":"journal-article","created":{"date-parts":[[2009,7,12]],"date-time":"2009-07-12T13:16:09Z","timestamp":1247404569000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Optimal Filtering in Pilot\u2010Aided Carrier Recovery"],"prefix":"10.1155","volume":"2009","author":[{"given":"Arnaldo","family":"Spalvieri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luca","family":"Barletta","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2009,7,12]]},"reference":[{"key":"e_1_2_6_1_2","doi-asserted-by":"crossref","unstructured":"SimonV. SenstA. SpethM. andMeyrH. Phase noise estimation via adapted interpolation 6 Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM \u203201) November 2001 3297\u20133301 EID2-s2.0-0035694094.","DOI":"10.1109\/GLOCOM.2001.966296"},{"key":"e_1_2_6_2_2","doi-asserted-by":"crossref","unstructured":"BhattiJ.andMoeneclaeyM. Influence of pilot symbol configuration on data-aided phase noise estimation from a DCT basis expansion Proceedings of the IEEE International Networking and Communications Conference (INCC \u203208) May 2008 79\u201384 https:\/\/doi.org\/10.1109\/INCC.2008.4562696 EID2-s2.0-51849129321.","DOI":"10.1109\/INCC.2008.4562696"},{"key":"e_1_2_6_3_2","doi-asserted-by":"crossref","unstructured":"GodtmannS. HadaschikN. PollokA. AscheidG. andMeyrH. 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