Spectrally Efficient UWB Pulse Shaping Based on Sharpening of Polynomially Weighted Gaussian Pulses

Polynomially weighted Gaussian pulses such as Gaussian derivatives and recently developed flat-spectrum Gaussian pulses are well localized in time. Therefore, they are suitable for use in ultra-wideband (UWB) systems. However, their efficiency in filling UWB spectral masks is limited. In this paper, we propose polynomial sharpening of their amplitude spectra that significantly improves this efficiency. To obtain a high efficiency, we introduce polynomials that enforce flatness at the spectrum's peak and provide controllable steepness in its transition regions. The proposed approach is illustrated with the design of UWB pulses that effectively fill the FCC spectral masks.

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/mipro65660.2025.11131850
Citations
1
Primary Topic
Ultra-Wideband Communications Technology
Type
article
Field-Weighted Citation Impact
0.73
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article

Spectrally Efficient UWB Pulse Shaping Based on Sharpening of Polynomially Weighted Gaussian Pulses

Mladen Vučić, Goran Molnar, Ante Miloš
1 citations
Ultra-Wideband Communications Technology
0.73
article

Spectrally Efficient UWB Pulse Shaping Based on Sharpening of Polynomially Weighted Gaussian Pulses

Mladen Vučić, Goran Molnar, Ante Miloš
article en
1 citations

Abstract

Polynomially weighted Gaussian pulses such as Gaussian derivatives and recently developed flat-spectrum Gaussian pulses are well localized in time. Therefore, they are suitable for use in ultra-wideband (UWB) systems. However, their efficiency in filling UWB spectral masks is limited. In this paper, we propose polynomial sharpening of their amplitude spectra that significantly improves this efficiency. To obtain a high efficiency, we introduce polynomials that enforce flatness at the spectrum's peak and provide controllable steepness in its transition regions. The proposed approach is illustrated with the design of UWB pulses that effectively fill the FCC spectral masks.

University of Zagreb (HR), Ericsson (Croatia) (HR)
Openalex Percentile: Top 24%
Ultra-Wideband Communications Technology
0.73
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