DocumentCode
3473430
Title
Parasitic aware optimization of an RF power scavenging circuit with applications to Smartdust sensor networks
Author
Salter, T. ; Metze, G. ; Goldsman, N.
Author_Institution
Lab. for Phys. Sci., College Park, MD
fYear
2009
fDate
18-22 Jan. 2009
Firstpage
332
Lastpage
335
Abstract
The small scale of Smartdust sensor networks poses unique challenges in the design and implementation of RF power scavenging systems. To meet these challenges, several design improvements to an RF power scavenging circuit integrated directly onto CMOS are presented. These improve RF to DC conversion efficiency through a reduction in the body effect and threshold voltage of diode connected MOSFETs and by reducing the sources of circuit parasitics that are unique to integrated circuits. Utilizing these improvements, a design goal of generating a 1V output voltage with a greater than 20% RF to DC conversion efficiency from RF energy levels measured in the environment (66 uW) was met. This represents better than double the RF to DC conversion efficiency of the conventional power matched RF energy harvesting circuit based on a Villard voltage doubler. The complete system, including matching circuitry is integrated directly onto a 130 nm CMOS process with no external passives and measures only 300 um by 600 um meeting the strict form factor requirement of Smartdust systems.
Keywords
CMOS integrated circuits; MOSFET; circuit optimisation; distributed sensors; radiofrequency integrated circuits; CMOS; RF power scavenging circuit; RF-to-DC conversion; Smartdust sensor networks; diode connected MOSFET; parasitic aware optimization; threshold voltage; DC generators; Diodes; Energy measurement; Energy states; Integrated circuit measurements; MOSFETs; Radio frequency; Radiofrequency integrated circuits; Sensor systems; Threshold voltage; Microwave power transmission; Smartdust; integrated circuits; low power; power transmission; rectifiers;
fLanguage
English
Publisher
ieee
Conference_Titel
Radio and Wireless Symposium, 2009. RWS '09. IEEE
Conference_Location
San Diego, CA
Print_ISBN
978-1-4244-2698-0
Electronic_ISBN
978-1-4244-2699-7
Type
conf
DOI
10.1109/RWS.2009.4957347
Filename
4957347
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