L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs
<p dir="ltr">While it becomes more challenging to improve the energy efficiency of incremental delta-sigma data converters (IDCs) from the analog circuit design perspective, we propose two novel linear reconstruction filters for IDCs to enhance their performance in a digital way, inc...
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2023
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| _version_ | 1864513526999023616 |
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| author | Bo Wang (86769) |
| author2 | Man-Kay Law (13242741) Jens Schneider (16885948) |
| author2_role | author author |
| author_facet | Bo Wang (86769) Man-Kay Law (13242741) Jens Schneider (16885948) |
| author_role | author |
| dc.creator.none.fl_str_mv | Bo Wang (86769) Man-Kay Law (13242741) Jens Schneider (16885948) |
| dc.date.none.fl_str_mv | 2023-09-18T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/tsp.2023.3305774 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/L_sub_2_sub_min_sup_2_2s_sup_Efficient_Linear_Reconstruction_Filter_for_Incremental_Delta-Sigma_ADCs/25243390 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Nonlinear filters Maximum likelihood detection Digital filters Quantization (signal) Filtering algorithms Modulation Noise reduction |
| dc.title.none.fl_str_mv | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">While it becomes more challenging to improve the energy efficiency of incremental delta-sigma data converters (IDCs) from the analog circuit design perspective, we propose two novel linear reconstruction filters for IDCs to enhance their performance in a digital way, including the L<sub>2</sub> min<sup>2</sup> filter and its symmetric version, the L<sub>2</sub> min<sup>2</sup><sup>s</sup> filter. Compared to the classical linear reconstruction filters, such as the cascade-of-integrators (CoI) and cascaded integrator-comb (CIC) filter (an implementation of sinc filter), the proposed filters can achieve efficient quantization and thermal noise suppression, with the lowest thermal noise penalty factor of 1.2 among the high-order linear reconstruction filters. In this paper, we present analytical, numerical, and experimental results to demonstrate the superior performance of the filters for first-order and second-order IDC output reconstruction. The proposed filters are hardware-friendly and example digital implementations in a standard complementary metal-oxide-semiconductor (CMOS) and field-programmable gate array (FPGA) platforms are included in this paper.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Signal Processing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/tsp.2023.3305774" target="_blank">https://dx.doi.org/10.1109/tsp.2023.3305774</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c0312f5b1f629b12d87e0e797669fb97 |
| identifier_str_mv | 10.1109/tsp.2023.3305774 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25243390 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCsBo Wang (86769)Man-Kay Law (13242741)Jens Schneider (16885948)EngineeringCommunications engineeringElectrical engineeringElectronics, sensors and digital hardwareNonlinear filtersMaximum likelihood detectionDigital filtersQuantization (signal)Filtering algorithmsModulationNoise reduction<p dir="ltr">While it becomes more challenging to improve the energy efficiency of incremental delta-sigma data converters (IDCs) from the analog circuit design perspective, we propose two novel linear reconstruction filters for IDCs to enhance their performance in a digital way, including the L<sub>2</sub> min<sup>2</sup> filter and its symmetric version, the L<sub>2</sub> min<sup>2</sup><sup>s</sup> filter. Compared to the classical linear reconstruction filters, such as the cascade-of-integrators (CoI) and cascaded integrator-comb (CIC) filter (an implementation of sinc filter), the proposed filters can achieve efficient quantization and thermal noise suppression, with the lowest thermal noise penalty factor of 1.2 among the high-order linear reconstruction filters. In this paper, we present analytical, numerical, and experimental results to demonstrate the superior performance of the filters for first-order and second-order IDC output reconstruction. The proposed filters are hardware-friendly and example digital implementations in a standard complementary metal-oxide-semiconductor (CMOS) and field-programmable gate array (FPGA) platforms are included in this paper.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Transactions on Signal Processing<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/tsp.2023.3305774" target="_blank">https://dx.doi.org/10.1109/tsp.2023.3305774</a></p>2023-09-18T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/tsp.2023.3305774https://figshare.com/articles/journal_contribution/L_sub_2_sub_min_sup_2_2s_sup_Efficient_Linear_Reconstruction_Filter_for_Incremental_Delta-Sigma_ADCs/25243390CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252433902023-09-18T06:00:00Z |
| spellingShingle | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs Bo Wang (86769) Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Nonlinear filters Maximum likelihood detection Digital filters Quantization (signal) Filtering algorithms Modulation Noise reduction |
| status_str | publishedVersion |
| title | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| title_full | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| title_fullStr | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| title_full_unstemmed | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| title_short | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| title_sort | L<sub>2 </sub>min<sup>2/2s</sup>: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs |
| topic | Engineering Communications engineering Electrical engineering Electronics, sensors and digital hardware Nonlinear filters Maximum likelihood detection Digital filters Quantization (signal) Filtering algorithms Modulation Noise reduction |