Time difference of arrival (TDOA) estimation using wavelet based denoising

dc.contributor.advisorLamm, David V.
dc.contributor.advisorBoudreau, Michael W.
dc.contributor.authorAktas, Unal.
dc.dateMarch, 1999
dc.date.accessioned2012-09-07T15:34:52Z
dc.date.available2012-09-07T15:34:52Z
dc.date.issued1999-03
dc.description.abstractThe localization of mobile wireless communication units is studied. The most important method of localization is the time difference of arrival (TDOA) method. The wavelet transform is used to increase the accuracy of TDOA estimation. Several denoising techniques based on the wavelet transform are presented in this thesis. These techniques are applied to different types of test signals as well as the GSM signal. The results of the denoising techniques are compared to the ones obtained using no denoising. The denoising techniques allow a 28 to 81 percent improvement in the TDOA estimation.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceTurkish Navy author.en_US
dc.description.urihttp://archive.org/details/timedifferenceof1094513574
dc.format.extentxii, 106 p.;28 cm.en_US
dc.identifier.urihttps://hdl.handle.net/10945/13574
dc.language.isoen_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.titleTime difference of arrival (TDOA) estimation using wavelet based denoisingen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
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