Accession Number:

ADA533092

Title:

Toward Efficient Quality of Information Estimation in Simultaneous Acoustic Tracking and Classification of Multiple Targets

Descriptive Note:

Conference paper

Corporate Author:

ARMY RESEARCH LAB ADELPHI MD

Report Date:

2009-07-01

Pagination or Media Count:

9.0

Abstract:

An individual sensors information output is often insufficient for an application, with ambiguities that require refinement or corroboration by fusion with information from other sensors. Fusion of multiple information sources is performed to create an information product of higher quality of information QoI that supports more effective intelligence, surveillance, and reconnaissance ISR. In this paper we present an approach to determining the QoI attributes metadata relevant to tracking and classification of multiple vehicles and the necessary weighting qualifying terms, as information derived from multiple acoustic sensors is fused. Field trial data is used to validate the conclusions.

Subject Categories:

  • Cybernetics
  • Acoustic Detection and Detectors

Distribution Statement:

APPROVED FOR PUBLIC RELEASE