Sampling architectures for ultra-wideband signals
Abstract
Ultra-wideband (UWB) signal processing is a technology that has tremendous potential to develop advances in communication and information technology. However, it also presents challenges to the signal processing community, and, in particular, to sampling theory. This article outlines a UWB signal processing system via a basis projection and a basis system designed specifically for UWB signals. The method first windows the signal and then decomposes the signal into a basis via a continuous-time inner product operation, computing the basis coefficients in parallel. The windows are key, and we develop windows that have variable partitioning length, variable roll-off and variable smoothness. They preserve orthogonality of any orthonormal system between adjacent blocks. In this paper, we develop new windows, and give an outline for a new architecture for the projection. We then use this projection with a basis system designed to work with UWB signals, implementing modified Gegenbauer functions designed specifically for these signals.
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Parameter Estimation of SAR Signal Based on SVD for the Nyquist Folding Receiver
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Liu, X., Li, T., Fan, X., & Chen, Z. (2019) · Sensors · doi:10.3390/s19061477 · Cited by 8 · see citing works
“Compared with the Gegenbauer system [5,6] and many other compress sensing (CS) based architectures [10,11] that require full signal reconstruction, the NYFR basically preserves the signal structure, and the information reconstruction can be relatively simple with conventional signal analysis methods [12].”
Background
- Authors
- Casey, S. D., & Cohl, H. S.
- Affiliations
- American University (US)
- National Institute of Standards and Technology (US)
- Venue
- 2017 International Conference on Sampling Theory and Applications (SampTA)
- Publisher
- IEEE
- Published
- 2017-07
- Volume
- 4
- Pages
- 246-250
- OpenAlex
- W2753806637
- Cited by
- 4
- References
- 18
- Citations by year
- 2023: 1 · 2019: 2 · 2018: 1
- FWCI
- 1.96
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Sampling Theory and Applications (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical Analysis and Transform Methods
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Ultra-Wideband Communications Technology
- Physical Sciences › Engineering › Computational Mechanics › Sparse and Compressive Sensing Techniques
- Keywords
- ultra-wideband signals, sampling theory, signal decomposition, signal processing architectures
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