Accession Number:

ADA564338

Title:

An ML-MHT Approach to Tracking Dim Targets in Large Sensor Networks

Descriptive Note:

Conference paper

Corporate Author:

NATO UNDERSEA RESEARCH CENTRE LA SPEZIA (ITALY)

Personal Author(s):

• Coraluppi, Stefano
• Carthel, Craig

Report Date:

2010-07-01

Pagination or Media Count:

8.0

Abstract:

Poor individual sensor performance as well as a large number of sensor scans per time interval are two challenges for multi-target tracking is large sensor networks. We introduce a two-stage processing scheme ML-MHT to address the former issue, and another to address the latter issue MHT2. We consider as well the combination of these two techniques ML-MHT2. Simulation results are encouraging. Future work will include application of these techniques to more challenging multi-sensor datasets characterized by extremely poor detection and localization performance.

Descriptors:

• *COMPUTER ARCHITECTURE
• ITALY
• MAXIMUM LIKELIHOOD ESTIMATION
• MULTIPLE TARGETS
• MULTISENSORS
• SYMPOSIA
• TRACKING

Subject Categories:

• Computer Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE