Accession Number:

ADA581917

Title:

Multi-Stage Data Fusion in Security and Defence

Descriptive Note:

Corporate Author:

NATO UNDERSEA RESEARCH CENTRE LA SPEZIA (ITALY)

Personal Author(s):

• Coraluppi, Stefano

Report Date:

2010-05-01

Pagination or Media Count:

19.0

Abstract:

The fundamental problem of target tracking is to estimate the state of one or more objects that persist over time, based on noisy measurements contained in a vast quantity of mostly spurious measurement data. Target tracking is closely related to a number of basic problems in statistical modelling and information extraction from noisy data. Multi-stage processing provides a wealth of processing options that can be exploited to achieve robust and high-performance surveillance. This manuscript describes a number of multi-stage tracking architectures that the author has recently studied. Additionally, we study the target cardinality problem.

Descriptors:

• *DATA FUSION
• CLUTTER
• ESTIMATES
• FALSE ALARMS
• NOISE
• TARGET DETECTION
• TRACKING
• TRACKS

Subject Categories:

• Statistics and Probability
• Cybernetics
• Target Direction, Range and Position Finding

Distribution Statement:

APPROVED FOR PUBLIC RELEASE