Accession Number : ADA640843


Title :   Using Fisher Information Criteria for Chemical Sensor Selection via Convex Optimization Methods


Descriptive Note : Memorandum rept. Oct 2015-Sep 2016


Corporate Author : NAVY TECHNOLOGY CENTER FOR SAFETY AND SURVIVABILITY WASHINGTON DC


Personal Author(s) : Knapp, Adam C ; Johnson, Kevin J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a640843.pdf


Report Date : 16 Nov 2016


Pagination or Media Count : 21


Abstract : This report presents methodology for the near optimal selection of chemical sensors in a chemical sensing array. While the sensing criteria are task specific, generally one may consider a criterion which maximizes the signal strength or conversely minimizes global error to be best. The quantification of this criteria proceeds from the determinant of the inverse Fisher information matrix which is proportional to the global error volume. If a practitioner has a suitable probabilistic noise model for his or her chemical sensing array and pool of available sensors, the Fisher information matrix may be parametrized to select the best sensors after an optimization procedure. Due to the positive definite nature of the Fisher information matrix, convex optimization may be used to accomplish this task. This report presents the derivation of the supporting set-up, expressions, and constraints for this procedure.


Descriptors :   *ARRAYS , *OPTIMIZATION , CHEMICAL AGENT DETECTORS


Subject Categories : Chemical, Biological and Radiological Warfare
      Miscellaneous Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE