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Novel Signal Processing Algorithms for Loran-C Skywave Identification
Responsible organisation
1998 (English)Conference paper, (Refereed) 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.

Place, publisher, year, edition, pages
Sheffield: Sheffield Hallam Univ. Press , 1998.
Keyword [en]
autoregressive moving average processes, Fourier analysis, noise, radio receivers, radionavigation, signal sampling
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-9547Local ID: oai:bth.se:forskinfoCB2E4C3FC5B6AB2AC1256C6B004F8A43ISBN: 0 86339 771 9 (print)OAI: oai:DiVA.org:bth-9547DiVA: diva2:837418
Conference
IEEE First International Symposium on Communication Systems and Digital Signal Processing
Available from: 2012-09-18 Created: 2002-11-08 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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