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Low-Resource Time-to-Digital Converters for Field Programmable Gate Arrays: A Review
1IFIC-Instituto de Física Corpuscular, CSIC-Universitat de València, c/Catedrático José Beltrán, 2, 46980 Paterna, Spain.
Sensors (Basel, Switzerland)
|September 14, 2024
Summary
This review explores methods for creating efficient Time-to-Digital Converters (TDCs) on Field-Programmable Gate Arrays (FPGAs). It highlights techniques that improve performance while minimizing resource usage for more detection channels.
Area of Science:
- Digital Electronics
- Integrated Circuit Design
- FPGA Architectures
Background:
- Increasing demand for detection channels in FPGAs necessitates efficient Time-to-Digital Converters (TDCs).
- Resource utilization is a critical factor in the evolution of FPGA-based TDCs.
- Optimizing TDC performance without excessive resource consumption is a key challenge.
Purpose of the Study:
- To review principal methodologies for implementing low-resource TDCs in FPGAs.
- To outline foundational architectures and interpolation techniques for enhanced TDC performance.
- To critically assess advantages and limitations of various low-resource TDC approaches.
Main Methods:
- Review of established low-resource TDC architectures: Tapped Delay Line, Vernier Ring Oscillator, and Multi-Phase Shift Counter TDCs.
- Investigation of novel architectures including Counter Gray Oscillator TDCs.
- Analysis of interpolation techniques using Process-Voltage-Temperature stable IODELAYs and SerDes.
Main Results:
- Detailed assessment of resolution, precision, non-linearities, and resource utilization for each method.
- Identification of trade-offs between performance metrics and resource demands.
- Provision of a comprehensive summary table of existing low-resource TDC works.
Conclusions:
- Several effective low-resource TDC implementations exist for FPGAs.
- The choice of architecture depends on specific application requirements regarding performance and resource constraints.
- Advancements focus on improving resolution and stability while minimizing FPGA resource footprint.

