|
Accession Number
|
ADA564338
|
|
Title
|
ML-MHT Approach to Tracking Dim Targets in Large Sensor Networks.
|
|
Publication Date
|
Jul 2010
|
|
Media Count
|
8p
|
|
Personal Author
|
C. Carthel S. Coraluppi
|
|
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.
|
|
Keywords
|
Computer architecture
Data association
Foreign reports
Italy
Maximum likelihood estimation
Multi-hypothesis tracking
Multi-sensor multi- target tracking
Multiple targets
Multisensors
Symposia
Tracking
|
|
|
Source Agency
|
Non Paid ADAS
|
|
NTIS Subject Category
|
62 - Computers, Control & Information Theory
|
|
Corporate Author
|
NATO Undersea Research Centre, La Spezia (Italy).
|
|
Document Type
|
Technical report
|
|
Title Note
|
Conference paper.
|
|
NTIS Issue Number
|
1302
|
|
Contract Number
|
N/A
|
