Resistor Variation Compensation for Enhanced Current Matching in Bandgap References
A precision bandgap reference (BGR) is an essential building block in modern analog and mixed-signal systems, as it provides stable and predictable current and voltage references required for reliable operation across process, voltage, and temperature variations. However, one of the key challenges in conventional BGR circuits is their sensitivity to resistance variations, which directly impacts the accuracy of bias currents. Even small changes in resistance can lead to significant current mismatch between the core branches of the circuit, thereby degrading output stability and limiting the precision of the overall system. This degradation is particularly problematic in high-performance applications such as data converters, oscillators, and low-power biasing networks, where robust current matching is critical. To address this limitation, this work proposes a resistance-compensated BGR architecture that incorporates an auxiliary trimming network and a compensation branch. The trimming network senses variations in resistance and generates a control bias proportional to the deviation, while the compensation branch injects a corrective current into the output stage. By dynamically balancing the mismatch introduced by resistor spread, the proposed architecture effectively restores current stability across process corners. This method achieves reduction in the current variation across resistance corners from 21% to 3% in worst-case corners (±3%). This approach offers enhancement of current mismatches in analog systems in which robust current is essential.
Authors
- Mohamed Dessouky (ORCID: https://orcid.org/0000-0003-3829-6284)
- Sameh A. Ibrahim (ORCID: https://orcid.org/0000-0001-8049-1441)
- Engy Nageib
Institutions
- Ain Shams University (EG)
Publication Details
- Journal
- Electronics
- Published
- 2025-09-26
- DOI
- https://doi.org/10.3390/electronics14193808
- Citations
- 1
- Primary Topic
- Analog and Mixed-Signal Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 0.67