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| Content Provider | Springer Nature Link |
|---|---|
| Author | Dias, M. H. C. Siqueira, G. L. |
| Copyright Year | 2005 |
| Abstract | This work presents an alternative processing scheme to improve measurement-based power delay profiles (PDP) estimates, using wavelet-based denoising. The usual PDP processing comprises cutting off all the data below a previously determined flat noise threshold. The proposed method is a more refined approach, since it tries to extract the noise from the measured data, keeping only the estimated signal. Wavelet denoising can be performed in many different ways, for it depends on several parameters, like the noise threshold selection rule, the wavelet function, the choice or not for a wavelet coefficients shrinkage and the number of decomposition levels. Several parameter combinations have been tested, in special for the Visu selection rule, which presented the best performance for the available data in the overall. Denoising was applied to real data from indoor environments, collected from wideband channel sounding surveys, centered at 1.8 GHz. Since frequency domain sounding has been carried out, denoising has been tested both directly over the frequency domain, and over the time–delay domain (PDP). The major result of the proposed processing was a qualitative improvement of the PDP, with smoother noise floors, and also with increases up to 8 dB on signal-to-noise ratios, in special for delay domain denoising. |
| Starting Page | 153 |
| Ending Page | 175 |
| Page Count | 23 |
| File Format | |
| ISSN | 09296212 |
| Journal | Wireless Personal Communications |
| Volume Number | 32 |
| Issue Number | 2 |
| e-ISSN | 1572834X |
| Language | English |
| Publisher | Kluwer Academic Publishers |
| Publisher Date | 2005-01-01 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | power delay profile indoor wideband channel wavelet denoising 1.8 GHz measurements Processor Architectures Electronic and Computer Engineering Signal, Image and Speech Processing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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