Efficient CTDSM based on GM‐C quantiser and improved dynamic element matching Article Swipe
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· 2020
· Open Access
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· DOI: https://doi.org/10.1049/iet-cds.2019.0404
In this study, a continuous‐time delta‐sigma modulator (CTDSM) is developed using a Gm‐C based noise‐shaping quantiser (Gm‐C‐NSQ) with an improved dynamic element matching (i‐DEM) algorithm. Here, a Gm‐C integrator is used to develop NSQ, since it increases the effectiveness of the proposed modulator in terms of power consumption and die area. This Gm‐C‐NSQ uses only three dynamic latches to provide efficient quantisation level and to increase the order of noise shaping. Moreover, an i‐DEM algorithm is utilised to reduce the non‐linearities of the quantiser and mismatching error of the digital‐to‐analogue converters presented in the feedback structure of the modulator. Here, an 180 nm CMOS technology is used to design the proposed modulator and it functions at 2.6 MHz sampling frequency. Simulation results show that the proposed modulator can achieve a peak spurious‐free dynamic range (SFDR) of 93.67 dB and a peak signal‐to‐noise ratio of 87.38 dB for 20 kHz signal bandwidth. Furthermore, the proposed modulator consumes 0.0863 mW power when 1.2 V supply voltage is applied.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1049/iet-cds.2019.0404
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cds.2019.0404
- OA Status
- bronze
- Cited By
- 1
- References
- 18
- Related Works
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- OpenAlex ID
- https://openalex.org/W3009923736
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3009923736Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1049/iet-cds.2019.0404Digital Object Identifier
- Title
-
Efficient CTDSM based on GM‐C quantiser and improved dynamic element matchingWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-03Full publication date if available
- Authors
-
Anil Kumar Sahu, Vivek Chandra, G. R. Sinha, Neeraj Kumar MisraList of authors in order
- Landing page
-
https://doi.org/10.1049/iet-cds.2019.0404Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cds.2019.0404Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cds.2019.0404Direct OA link when available
- Concepts
-
Spurious-free dynamic range, Integrator, Dynamic range, Delta-sigma modulation, Bandwidth (computing), Physics, Noise shaping, Electronic engineering, Noise (video), CMOS, Converters, Power (physics), Algorithm, Computer science, Engineering, Telecommunications, Artificial intelligence, Quantum mechanics, Image (mathematics)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1Per-year citation counts (last 5 years)
- References (count)
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18Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.of | 39, 45, 68, 81, 87, 96, 135, 143 |
| abstract_inverted_index.to | 31, 58, 64, 77, 107 |
| abstract_inverted_index.1.2 | 160 |
| abstract_inverted_index.180 | 101 |
| abstract_inverted_index.2.6 | 116 |
| abstract_inverted_index.MHz | 117 |
| abstract_inverted_index.and | 48, 63, 84, 112, 138 |
| abstract_inverted_index.can | 127 |
| abstract_inverted_index.die | 49 |
| abstract_inverted_index.for | 146 |
| abstract_inverted_index.kHz | 148 |
| abstract_inverted_index.the | 37, 40, 66, 79, 82, 88, 93, 97, 109, 124, 152 |
| abstract_inverted_index.CMOS | 103 |
| abstract_inverted_index.NSQ, | 33 |
| abstract_inverted_index.This | 51 |
| abstract_inverted_index.only | 54 |
| abstract_inverted_index.peak | 130, 140 |
| abstract_inverted_index.show | 122 |
| abstract_inverted_index.that | 123 |
| abstract_inverted_index.this | 1 |
| abstract_inverted_index.used | 30, 106 |
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| abstract_inverted_index.when | 159 |
| abstract_inverted_index.with | 17 |
| abstract_inverted_index.87.38 | 144 |
| abstract_inverted_index.93.67 | 136 |
| abstract_inverted_index.Here, | 25, 99 |
| abstract_inverted_index.area. | 50 |
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| abstract_inverted_index.error | 86 |
| abstract_inverted_index.level | 62 |
| abstract_inverted_index.noise | 69 |
| abstract_inverted_index.order | 67 |
| abstract_inverted_index.power | 46, 158 |
| abstract_inverted_index.range | 133 |
| abstract_inverted_index.ratio | 142 |
| abstract_inverted_index.since | 34 |
| abstract_inverted_index.terms | 44 |
| abstract_inverted_index.three | 55 |
| abstract_inverted_index.using | 10 |
| abstract_inverted_index.(SFDR) | 134 |
| abstract_inverted_index.0.0863 | 156 |
| abstract_inverted_index.Gm‐C | 12, 27 |
| abstract_inverted_index.design | 108 |
| abstract_inverted_index.reduce | 78 |
| abstract_inverted_index.signal | 149 |
| abstract_inverted_index.study, | 2 |
| abstract_inverted_index.supply | 162 |
| abstract_inverted_index.(CTDSM) | 7 |
| abstract_inverted_index.achieve | 128 |
| abstract_inverted_index.develop | 32 |
| abstract_inverted_index.dynamic | 20, 56, 132 |
| abstract_inverted_index.element | 21 |
| abstract_inverted_index.i‐DEM | 73 |
| abstract_inverted_index.latches | 57 |
| abstract_inverted_index.provide | 59 |
| abstract_inverted_index.results | 121 |
| abstract_inverted_index.voltage | 163 |
| abstract_inverted_index.applied. | 165 |
| abstract_inverted_index.consumes | 155 |
| abstract_inverted_index.feedback | 94 |
| abstract_inverted_index.improved | 19 |
| abstract_inverted_index.increase | 65 |
| abstract_inverted_index.matching | 22 |
| abstract_inverted_index.proposed | 41, 110, 125, 153 |
| abstract_inverted_index.sampling | 118 |
| abstract_inverted_index.shaping. | 70 |
| abstract_inverted_index.utilised | 76 |
| abstract_inverted_index.(i‐DEM) | 23 |
| abstract_inverted_index.Moreover, | 71 |
| abstract_inverted_index.algorithm | 74 |
| abstract_inverted_index.developed | 9 |
| abstract_inverted_index.efficient | 60 |
| abstract_inverted_index.functions | 114 |
| abstract_inverted_index.increases | 36 |
| abstract_inverted_index.modulator | 6, 42, 111, 126, 154 |
| abstract_inverted_index.presented | 91 |
| abstract_inverted_index.quantiser | 15, 83 |
| abstract_inverted_index.structure | 95 |
| abstract_inverted_index.Simulation | 120 |
| abstract_inverted_index.algorithm. | 24 |
| abstract_inverted_index.bandwidth. | 150 |
| abstract_inverted_index.converters | 90 |
| abstract_inverted_index.frequency. | 119 |
| abstract_inverted_index.integrator | 28 |
| abstract_inverted_index.modulator. | 98 |
| abstract_inverted_index.technology | 104 |
| abstract_inverted_index.consumption | 47 |
| abstract_inverted_index.mismatching | 85 |
| abstract_inverted_index.Furthermore, | 151 |
| abstract_inverted_index.Gm‐C‐NSQ | 52 |
| abstract_inverted_index.quantisation | 61 |
| abstract_inverted_index.delta‐sigma | 5 |
| abstract_inverted_index.effectiveness | 38 |
| abstract_inverted_index.(Gm‐C‐NSQ) | 16 |
| abstract_inverted_index.noise‐shaping | 14 |
| abstract_inverted_index.spurious‐free | 131 |
| abstract_inverted_index.continuous‐time | 4 |
| abstract_inverted_index.non‐linearities | 80 |
| abstract_inverted_index.signal‐to‐noise | 141 |
| abstract_inverted_index.digital‐to‐analogue | 89 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5041594918 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.8999999761581421 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.37240588 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |