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Improved ultra wideband power delay profile using wavelet-based denoising

Authors: Zakaria Mohammadi; Rachid Saadane; Mohamed Wahbi; Driss Aboutajdine;

Improved ultra wideband power delay profile using wavelet-based denoising

Abstract

In this paper, the application of wavelet denoising to the estimated Power Delay Profile (PDP) from measured UWB indoor channel responses was investigated. Unlike the conventional thresholding scheme, which cut-off the values below a threshold to suppress artifacts of the measurement system, the wavelet-based denoising scheme is smoother. Wavelet denoising accuracy depends on several factors, like the type of the wavelet basis function, threshold selection rule, hard or soft shrinkage and the number of decomposition levels. The wavelet-based denoising procedure has been applied to the ultra wideband channel measurements collected from a measurement campaign, which has been performed within the whyless.com project by the IMST group, to fight against some spurious effects due to channel sounder setup imperfections, noise and interference, causing some statistical moments distortion.

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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!
0
Average
Average
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