Accession Number:

ADA592031

Title:

Control of Sensors for Sequential Detection: A Stochastic Approach

Descriptive Note:

Final rept. 15 Jul 2010-14 Jul 2013

Corporate Author:

NOTRE DAME UNIV IN

Personal Author(s):

Report Date:

2013-11-13

Pagination or Media Count:

6.0

Abstract:

The project was aimed at developing computationally efficient rigorous design methods for control of sensing resources for adaptive information gathering in sequential detection and classification problems. The proposed approach centered on obtaining optimal stochastic sensor management policies. Sequential tests for detection and classification were considered, that have as cost function the expected number of measurements required to guarantee the probability of error to be below specified limits, while explicitly including constraints on sensor usage. The proposed research has been successfully completed.

Subject Categories:

  • Miscellaneous Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE