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A Size, Weight, Power, and Cost-Efficient 32-Channel Time to Digital Converter Using a Novel Wave Union Method.
Alshahry, Saleh M; Alshehry, Awwad H; Alhazmi, Abdullah K; Chodavarapu, Vamsy P.
Afiliação
  • Alshahry SM; Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
  • Alshehry AH; Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
  • Alhazmi AK; Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
  • Chodavarapu VP; Department of Electrical and Computer Engineering, University of Dayton, 300 College Park, Dayton, OH 45469, USA.
Sensors (Basel) ; 23(14)2023 Jul 23.
Article em En | MEDLINE | ID: mdl-37514914
ABSTRACT
We present a Tapped Delay Line (TDL)-based Time to Digital Converter (TDC) using Wave Union type A (WU-A) architecture for applications that require high-precision time interval measurements with low size, weight, power, and cost (SWaP-C) requirements. The proposed TDC is implemented on a low-cost Field-Programmable Gate Array (FPGA), Artix-7, from Xilinx. Compared to prior works, our high-precision multi-channel TDC has the lowest SWaP-C requirements. We demonstrate an average time precision of less than 3 ps and a Root Mean Square resolution of about 1.81 ps. We propose a novel Wave Union type A architecture where only the first multiplexer is used to generate the wave union pulse train at the arrival of the start signal to minimize the required computational processing. In addition, an auto-calibration algorithm is proposed to help improve the TDC performance by improving the TDC Differential Non-Linearity and Integral Non-Linearity.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_financiamento_saude Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Contexto em Saúde: 1_ASSA2030 Problema de saúde: 1_financiamento_saude Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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