This paper presents a Matlab-Spectre toolbox for the automated design of ultra-low power (ULP) CMOS Voltage References (VRs). The tool, developed to support circuit designers, allows for a quick exploration of the design space and it returns the sizes of the devices in the circuit for the best temperature coefficient and spread over corners. Our toolbox is compatible with multiple process design kits (PDKs), for fast porting of reference designs across different technology nodes. In this paper we report on the automated design of an enhanced 4T-VR using our CAD toolbox. The design achieves a spread over corners of 1.8% and a temperature coefficient of 32 ppm/°C.

A Matlab-Spectre Toolbox for Automated Design of Ultra-Low Power CMOS Voltage References / Bersani, Giorgio; Boni, Andrea; Caselli, Michele. - (2025), pp. 1-4. ( 2025 20th International Conference on PhD Research in Microelectronics and Electronics (PRIME)) [10.1109/PRIME66228.2025.11203448].

A Matlab-Spectre Toolbox for Automated Design of Ultra-Low Power CMOS Voltage References

Giorgio Bersani;Andrea Boni;Michele Caselli
2025-01-01

Abstract

This paper presents a Matlab-Spectre toolbox for the automated design of ultra-low power (ULP) CMOS Voltage References (VRs). The tool, developed to support circuit designers, allows for a quick exploration of the design space and it returns the sizes of the devices in the circuit for the best temperature coefficient and spread over corners. Our toolbox is compatible with multiple process design kits (PDKs), for fast porting of reference designs across different technology nodes. In this paper we report on the automated design of an enhanced 4T-VR using our CAD toolbox. The design achieves a spread over corners of 1.8% and a temperature coefficient of 32 ppm/°C.
2025
A Matlab-Spectre Toolbox for Automated Design of Ultra-Low Power CMOS Voltage References / Bersani, Giorgio; Boni, Andrea; Caselli, Michele. - (2025), pp. 1-4. ( 2025 20th International Conference on PhD Research in Microelectronics and Electronics (PRIME)) [10.1109/PRIME66228.2025.11203448].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3037733
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