128-channel high-linearity resolution- adjustable time-to-digital converters for LiDAR applications : software predictions and hardware implementations
Xie, Wujun and Wang, Yu and Chen, Haochang and Li, David Day-Uei (2022) 128-channel high-linearity resolution- adjustable time-to-digital converters for LiDAR applications : software predictions and hardware implementations. IEEE Transactions on Industrial Electronics, 69 (4). 4264 - 4274. ISSN 0278-0046 (https://doi.org/10.1109/TIE.2021.3076708)
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Abstract
This paper proposes a new calibration method, called the mixed-binning (MB) method, to pursue high-linearity time-to-digital converters (TDCs) for light detection and ranging (LiDAR) applications. The proposed TDCs were developed using tapped delay-line (TDL) cells in field-programmable gate arrays (FPGAs). With the MB method, we implemented a resolution-adjustable TDC showing excellent linearity in Xilinx UltraScale FPGAs. We demonstrate a 128-channel TDC to show that the proposed method is cost-effective in logic resources. We also developed a software tool to predict the performances of TDL-based TDCs robustly. Results from both software analysis and hardware implementations are in a good agreement and show that the proposed design has great potential for multichannel applications; the averaged DNL_(pk-pk) and INL_(pk-pk) are close to or even less than 0.05 LSB in multichannel designs.
ORCID iDs
Xie, Wujun ORCID: https://orcid.org/0000-0003-0483-8639, Wang, Yu, Chen, Haochang ORCID: https://orcid.org/0000-0001-6196-4418 and Li, David Day-Uei ORCID: https://orcid.org/0000-0002-6401-4263;-
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Item type: Article ID code: 76137 Dates: DateEventApril 2022Published5 May 2021Published Online17 April 2021Accepted2021SubmittedNotes: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Strategic Research Themes > Health and Wellbeing
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 19 Apr 2021 10:48 Last modified: 04 Dec 2024 01:23 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/76137