Litcius/Paper detail

A 30% Efficient High-Output Voltage Fully Integrated Self-Biased Gate RF Rectifier Topology for Neural Implants

Ziyue Xu, Adam Khalifa, Ankit Mittal, Mehdi Nasrollahpourmotlaghzanjani, Diptashree Das, Marvin Onabajo, Nian X. Sun, Sydney S. Cash, Aatmesh Shrivastava

2022IEEE Journal of Solid-State Circuits38 citationsDOIOpen Access PDF

Abstract

This article presents a fully integrated RF energy harvester (EH) with 30% end-to-end power harvesting efficiency (PHE) and supports high-output voltage operation, up to 9.3 V, with a 1.07-GHz input and under the electrode model for neural applications. The EH is composed of a novel ten-stage self-biased gate (SBG) rectifier with an on-chip matching network (MN). The SBG topology elevates the gate-bias of transistors in a nonlinear manner to enable higher conductivity. The design also achieves$>$20% PHE range of 12 dB. The design was fabricated in 65-nm CMOS technology and occupies an area of 0.0732 mm2 with on-chip MN. In addition to standalone EH characterization measurement results, animal tissue stimulation test was performed to evaluate its performance in a realistic neural implant application.

Topics & Concepts

Rectifier (neural networks)Topology (electrical circuits)CMOSChipTransistorVoltageElectronic engineeringArtificial neural networkElectrical engineeringComputer scienceSensitivity (control systems)Materials scienceEngineeringArtificial intelligenceStochastic neural networkRecurrent neural networkNeuroscience and Neural EngineeringEnergy Harvesting in Wireless NetworksAdvanced Memory and Neural Computing