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Novel Signal Processing Algorithms for Loran-C Skywave Identification
Ansvarlig organisasjon
1998 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

Two novel signal processing techniques employing Fourier analysis and an ARMA model for the purpose of identifying the skywave components in Loran-C receivers are presented. The performance of these techniques, under noisy conditions, is evaluated and compared. The proposed algorithms would enable Loran-C receivers to optimise their sampling points thus improving their positioning measurements and reliability.

sted, utgiver, år, opplag, sider
Sheffield: Sheffield Hallam Univ. Press , 1998.
Emneord [en]
autoregressive moving average processes, Fourier analysis, noise, radio receivers, radionavigation, signal sampling
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-9547Lokal ID: oai:bth.se:forskinfoCB2E4C3FC5B6AB2AC1256C6B004F8A43ISBN: 0 86339 771 9 (tryckt)OAI: oai:DiVA.org:bth-9547DiVA, id: diva2:837418
Konferanse
IEEE First International Symposium on Communication Systems and Digital Signal Processing
Tilgjengelig fra: 2012-09-18 Laget: 2002-11-08 Sist oppdatert: 2015-06-30bibliografisk kontrollert

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Totalt: 62 treff
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