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.

Subject Categories:

  • Polymer Chemistry
  • Electrical and Electronic Equipment
  • Miscellaneous Detection and Detectors
  • Ammunition and Explosives
  • Solid State Physics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE