Journal article
Odd/Even Order Sampling Soft-Core Architecture Towards Mixed Signals Fourth Industrial Revolution (4IR) Applications
Energies (Basel), v 12(23), p4567
29 Nov 2019
Abstract
Digitization is at the center of fourth industrial revolution (4IR) with previously analog systems being digitized through an analog-to-digital converter. In addition, 4IR applications such as fifth generation (5G) Cellular Networks Technology and Cognitive Electronic Warfare (EW) at some point interface digitally through an analog-to-digital converter. Efficient use of digital resources such as memory, largely depends on the signal sampling design of analog-to-digital converters. Existing even order sampling has been found to perform better than traditional sampling techniques. Research on the efficiency of a digital interface with a 4IR platform is still in its infancy. This paper presents a performance study of three sampling techniques: the proposed new and novel odd/even order sampling architecture, existing Mod-Delta, and traditional 1st order delta-sigma, to address this. Step-size signal-to-noise (SNR), dynamic range, and sampling frequency are also studied. It was found that the proposed new and novel odd/even order sampling achieved an SNR performance of 6 dB in comparison to 18 dB for Mod-Delta. Sampling frequency findings indicated that the proposed new and novel odd/even order sampling achieved a sampling frequency of 2 kHz in comparison to 8 kHz from a traditional 1st order sigma-delta. Dynamic range findings indicated that the proposed odd/even order sampling has achieved a dynamic range of 1.088 volts/ms in comparison to 1.185 volts/ms from a traditional 1st order sigma-delta. Findings have indicated that the proposed odd/even order sampling has superior SNR and sampling frequency performances, while the dynamic range is reduced by 8%.
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Details
- Title
- Odd/Even Order Sampling Soft-Core Architecture Towards Mixed Signals Fourth Industrial Revolution (4IR) Applications
- Creators
- Madodana Mfana - University of JohannesburgAli N. Hasan - University of JohannesburgAli Ahmed - University of Johannesburg
- Publication Details
- Energies (Basel), v 12(23), p4567
- Publisher
- Mdpi
- Number of pages
- 20
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Engineering Leadership and Society/Engineering Technology
- Web of Science ID
- WOS:000514090100165
- Scopus ID
- 2-s2.0-85076101276
- Other Identifier
- 991022004618504721
InCites Highlights
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- Web of Science research areas
- Energy & Fuels