Dual Mode Output Capacitorless Low Dropout with Low Quiescent Current for Hearing Aid Applications
This paper presents a novel low dropout regulator (LDO) for hearing aid applications, implemented in 65 nm CMOS technology. The LDO, designed without an output capacitor, achieves a low quiescent current of 3.09 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$\mu\mathbf{A}$</tex> through subthreshold operation. It features an adaptively biased regulation mechanism with two power transistors, supporting load current range up to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$500\ \mu\mathbf{A}$</tex>. The Dynamic Voltage Scaling (DVS) block offers normal and low power modes, regulating output voltages to 0.7 V and 0.9 V. Simulation results show a power consumption of <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3.4 \mu\mathbf{W}$</tex>, PSRR of -75 dB at 1 kHz, line and load regulation of 1.10.7 mV/V and 0.484 mV/mA, respectively, and a settling time of 1.37 to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$3.6\ \mu\mathbf{s}$</tex>. The LDO maintains 0.9 V output for input voltages between 1.1 V and 1.4 V in normal mode, and 0.7 V at 1 V input in low power mode, with a dropout voltage of 100 mV and 89.89% efficiency.
Authors
- Emrys Leowhel T. Oling
- Kevin O. Maglinte (ORCID: https://orcid.org/0000-0001-9368-5798)
- Rochelle M. Sabarillo
- Thesa Ll. Vergara
- Nieva M. Mapula (ORCID: https://orcid.org/0000-0002-3060-2198)
- Gene Fe P. Palencia (ORCID: https://orcid.org/0000-0003-3183-2646)
- Harreez M. Villaruz (ORCID: https://orcid.org/0000-0002-1900-1658)
- Nicolás Mora (ORCID: https://orcid.org/0000-0003-4589-5680)
- Dale Matthew D. Legaspi
Institutions
- Mindanao State University – Iligan Institute of Technology (PH)
Publication Details
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1109/tencon61640.2024.10902695
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00