Estimators for inductive-coupling based batteryless wireless high-frequency sensing

S. Sivaramakrishnan, R. Rajamani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


This paper develops estimation algorithms for inductively coupled batteryless wireless sensors. In such sensors, the objective is to estimate the capacitance of the embedded sensor by the measuring the influence of the sensor on an inductively coupled interrogator. The primary challenge in capacitance-estimation is the need for an accurate knowledge of the mutual inductance between the sensor and interrogator, which, varies with the location and alignment of the interrogator. Existing estimation methods that overcome this challenge are too slow for high-frequency sensing applications like microphones. This paper develops solutions designed to address the above limitation. A nonlinear adaptive observer and a cascaded filter are developed and evaluated for high-frequency capacitance estimation. Results show that the cascaded filter can accurately estimate high frequency capacitance changes with varying mutual inductance.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 American Control Conference, ACC
Number of pages6
StatePublished - Dec 1 2007
Event2007 American Control Conference, ACC - New York, NY, United States
Duration: Jul 9 2007Jul 13 2007

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2007 American Control Conference, ACC
Country/TerritoryUnited States
CityNew York, NY


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