Low power range estimation with DSSS technique in underwater acoustics

buir.advisorKöymen, Hayrettin
dc.contributor.authorGüleryüz, Mustafa Ozan
dc.date.accessioned2016-01-08T18:26:25Z
dc.date.available2016-01-08T18:26:25Z
dc.date.issued2013
dc.descriptionCataloged from PDF version of article.en_US
dc.descriptionIncludes bibliographical references leaves 57-58.en_US
dc.description.abstractPerformance of direct sequence spread spectrum modulation (DSSS) in underwater acoustical range finding is investigated in this thesis. Range estimation using low power DSSS codes is both analyzed theoretically and implemented at 400 kHz for experimental assessment, where the chip duration is 20 µs and sequence type is maximal. The effect of sequence length on the required transmit power is measured for sequence lengths from 7 chips to 127 chips. The performance of this method is compared to the widely used tone burst pulse range estimation technique. It is found that at a sequence of 127 chips and a pulse sequence length of 2,54 ms, range is estimated with 1,5 cm resolution using source level of 132,8 dB re 1 µP arms @ 1 m source level , while it is 190,5 cm for the same length and magnitude tone burst modulation, at a reference test range of 4.5 m. Moreover, spectral height of received DSSS signal is well below the ambient noise level so that signal to noise ratio (SNR) for received DSSS signal is -14,8 dB, while it is 12,2 dB for received tone burst pulseen_US
dc.description.statementofresponsibilityGüleryüz, Mustafa Ozanen_US
dc.format.extentxiv, 78 leaves, illustrations, graphs, tablesen_US
dc.identifier.urihttp://hdl.handle.net/11693/15896
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEcho Soundingen_US
dc.subjectDirect Sequence Spread Spectrumen_US
dc.subjectModulationen_US
dc.subjectRange Estimationen_US
dc.subjectTone Burst Pulseen_US
dc.subject.lccQC242.2 .G84 2013en_US
dc.subject.lcshUnderwater acoustics.en_US
dc.subject.lcshSpread spectrum communications.en_US
dc.titleLow power range estimation with DSSS technique in underwater acousticsen_US
dc.typeThesisen_US
thesis.degree.disciplineElectrical and Electronic Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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