{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,1]],"date-time":"2025-02-01T05:30:51Z","timestamp":1738387851705,"version":"3.35.0"},"reference-count":5,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2008,9,12]],"date-time":"2008-09-12T00:00:00Z","timestamp":1221177600000},"content-version":"vor","delay-in-days":5917,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Trans Emerging Tel Tech"],"published-print":{"date-parts":[[1992,7]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The paper deals with the problem of the estimation of the scaling amplitudes and the arrival times of a multipath signal. An extensive study of two new spectral\u2010correlation based estimation methods is presented. These algorithms are applicable as long as the multipath signal is cyclostationary. They are inherently tolerant to both noise and interference, and can, in principle, provide arbitrarily accurate estimates when a sufficiently long collect time is available. The methods are compared in terms of temporal resolution, arrival time dynamics and estimate accuracy. Finally, the performance of both considered methods is compared with that of conventional techniques based on temporal correlation.<\/jats:p>","DOI":"10.1002\/ett.4460030406","type":"journal-article","created":{"date-parts":[[2008,9,12]],"date-time":"2008-09-12T12:21:14Z","timestamp":1221222074000},"page":"341-348","source":"Crossref","is-referenced-by-count":7,"title":["Spectral\u2010correlation based methods for multipath\u2010channel identification"],"prefix":"10.1002","volume":"3","author":[{"given":"Luciano","family":"Izzo","sequence":"first","affiliation":[]},{"given":"Antonio","family":"Napolitano","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Tanda","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2008,9,12]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1976.1162830"},{"key":"e_1_2_1_3_2","doi-asserted-by":"crossref","unstructured":"W. A.Gardner C.\u2010K.Chen:Selective source location by exploitation of spectral coherence. \u201cProc. IEEE ASSP 4th Workshop Spectrum Estimat. Model. Minneapolis U.S.A.\u201d Aug.1988 p.271\u2013276.","DOI":"10.1109\/SPECT.1988.206205"},{"key":"e_1_2_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/29.90366"},{"key":"e_1_2_1_5_2","unstructured":"L.Izzo A.Napolitano L.Paura M.Tanda:Estimation of multipath\u2010signal parameters by exploitation of spectral coherence. Proc. of 2nd International Conference on Communication Systems (ICCS'90) Singapore Nov.1990 p.824\u2013828."},{"volume-title":"Statistical Spectral Analysis: A Nonprobabilistic Theory","year":"1988","author":"Gardner W. A.","key":"e_1_2_1_6_2"}],"container-title":["European Transactions on Telecommunications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.wiley.com\/onlinelibrary\/tdm\/v1\/articles\/10.1002%2Fett.4460030406","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/ett.4460030406","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T22:32:40Z","timestamp":1738362760000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/ett.4460030406"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1992,7]]},"references-count":5,"journal-issue":{"issue":"4","published-print":{"date-parts":[[1992,7]]}},"alternative-id":["10.1002\/ett.4460030406"],"URL":"https:\/\/doi.org\/10.1002\/ett.4460030406","archive":["Portico"],"relation":{},"ISSN":["1124-318X","1541-8251"],"issn-type":[{"type":"print","value":"1124-318X"},{"type":"electronic","value":"1541-8251"}],"subject":[],"published":{"date-parts":[[1992,7]]}}}