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Accession Number:
ADA616614
Title:
Phase Noise Squeezing Based Parametric Bifurcation Tracking of MIP-Coated Microbeam MEMS Sensor for TNT Explosive Gas Sensing
Descriptive Note:
Conference paper
Corporate Author:
CALIFORNIA UNIV SANTA BARBARA
Report Date:
2014-06-08
Pagination or Media Count:
6.0
Abstract:
This paper reports real time explosive gas sensing DNT in atmospheric pressure utilizing the noise squeezing effect that occurs prior to a bifurcation event. A noise-squeezing controller based on the statistics of phase noise is implemented using high speed LabVIEW field programmable gated array FPGA. A high frequency TNT-molecularly imprinted fixed-fixed microbeam sensor utilizes this nontraditional sensing strategy and performs DNT sensing at various concentrations. Experiments are conducted using both noise-based and sweep-based bifurcation tracking for a direct comparison. Results demonstrate noise-based bifurcation tracking is not only capable of performing reliable frequency tracking, but also shows the method is superior to the bifurcation sweep-based tracking. Over three orders of magnitude improvement in acquisition rate is achieved, and, as a result, confidence and precision on bifurcation frequency estimation is significantly improved over the bifurcation sweep tracking method, enabling DNT sensing at concentrations much below sub-ppb parts-per billion level.
Distribution Statement:
APPROVED FOR PUBLIC RELEASE