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dc.date.accessioned2020-06-04T19:25:09Z
dc.date.available2020-06-04T19:25:09Z
dc.date.created2020-01-07T15:53:41Z
dc.date.issued2019
dc.identifier.citationMurano, Santiago Perez-Rubio, Carmen Aparicio, Joaquin De Marziani, Carlos . Doppler resilience evaluation of different encoding techniques for underwater acoustic ranging systems. IEEE Conference on Emerging Technologies and Factory Automation. 2019, 2019-September, 1627-1630
dc.identifier.urihttp://hdl.handle.net/10852/76665
dc.description.abstractUnderwater acoustic communication or localization systems can be affected by the Doppler effect when the receiver or emitter is in motion. In those cases, the use of an a appropiate encoding/modulating scheme play a pivotal role in the time of arrival estimations, avoiding the need of complex auxiliary Doppler compensation algorithms. This paper presents a Doppler resilience evaluation of Zadoff-Chu based schemes, modulated by phase modulation (QPSK), Orthogonal Frequency Division Multiplexing (OFDM) and Frequency Hopping Spread Spectrum (FHSS) modulation schemes. They are also compared to traditional binary Kasami codes modulated by BPSK. An underwater acoustic propagation model has been used to assessed the aforementioned schemes, to which the Doppler effect modeling has been also incorporated.
dc.languageEN
dc.publisherIEEE Geoscience and Remote Sensing Society
dc.titleDoppler resilience evaluation of different encoding techniques for underwater acoustic ranging systems
dc.typeJournal article
dc.creator.authorMurano, Santiago
dc.creator.authorPerez-Rubio, Carmen
dc.creator.authorAparicio, Joaquin
dc.creator.authorDe Marziani, Carlos
cristin.unitcode185,15,5,0
cristin.unitnameInstitutt for informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin1767916
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE Conference on Emerging Technologies and Factory Automation&rft.volume=2019-September&rft.spage=1627&rft.date=2019
dc.identifier.jtitleIEEE Conference on Emerging Technologies and Factory Automation
dc.identifier.volume2019-September
dc.identifier.startpage1627
dc.identifier.endpage1630
dc.identifier.doihttps://doi.org/10.1109/ETFA.2019.8869448
dc.identifier.urnURN:NBN:no-79775
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn1946-0740
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/76665/2/WIP%2BETFA19.pdf
dc.type.versionAcceptedVersion


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