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Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
Published on: February 4, 2018
A multiband radio-frequency energy harvester for self-powered biosensor.
Maissa Daoud1, Hassene Mnif1, Mohamed Ghorbel2
1Electronics and Information Technology Laboratory, University of Sfax, Tunisia.
This study introduces a new radio frequency (RF) to direct current (DC) converter for biosensors, utilizing a novel nano-structure and ambient energy harvesting. The efficient design achieves a 62.8% conversion efficiency for improved energy control.
Area of Science:
- Electrical Engineering
- Biomedical Engineering
- Nanoelectronics
Background:
- Biosensors require efficient energy control units.
- Existing radio frequency (RF) to direct current (DC) converters often face limitations in efficiency and power consumption.
- Harvesting ambient energy is crucial for autonomous biosensor operation.
Purpose of the Study:
- To present a novel nano-structured RF-DC converter for biosensor energy control.
- To enhance power conversion efficiency by integrating ambient energy sources.
- To enable self-powered operation of biosensor implants.
Main Methods:
- A Graëtz Bridge (DP3) based nano-structure was designed, replacing diodes with NMOS transistors.
- Capacitors were integrated for voltage boosting in each stage.
- The converter utilizes external 2.45 GHz voluntary signals and involuntary Global System for Mobile (GSM) signals (900 MHz and 1800 MHz) for energy harvesting.
Main Results:
- The proposed RF-DC converter achieves a high efficiency of 62.8% at an input power of 10 dBm.
- The design minimizes the number of stages required for a powerful DC output.
- External control circuits for transistors are eliminated, reducing power consumption.
Conclusions:
- The novel nano-structured RF-DC converter offers a promising solution for efficient energy control in biosensors.
- Integration of multiple RF sources enhances energy harvesting capabilities.
- The design paves the way for self-powered and autonomous biosensor systems.
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