Control of Sensors for Sequential Detection: A Stochastic Approach
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 13, 2013
- Accession Number
- ADA592031
Entities
People
- Vijay Gupta
Organizations
- University of Notre Dame