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

descriptionPublicationkeyboard_double_arrow_right Thesis English Publisher:Monterey, California: Naval Postgraduate School
Authors: Aktas, Unal.;

handle: 10945/13574

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

Abstract

The 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.

Approved for public release; distribution is unlimited.

http://archive.org/details/timedifferenceof1094513574

Turkish Navy author.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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