DocumentCode :
1810594
Title :
Particle filtering approach to multistatic underwater sensor networks with left-right ambiguity
Author :
Braca, Paolo ; Lepage, Kyle ; Willett, P. ; Marano, Stefano ; Matta, Vincenzo
Author_Institution :
NATO STO CMRE, La Spezia, Italy
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
266
Lastpage :
271
Abstract :
This paper develops a data fusion strategy for the bistatic source-target-receiver geometry with left/right ambiguity via particle filtering. The ambiguous contacts, as opposed to false alarms, are coherent in time in the sense that a tracker would generate two tracks: The true one and the ghost one. The problem is complicated by the presence of missed detections of the target and false alarms.
Keywords :
particle filtering (numerical methods); sensor fusion; sonar; wireless sensor networks; Bayesian posterior distribution; Centre for Maritime Research and Experimentation; Generic Littoral Interoperable Network Technology sea trials; NATO Science and Technology Organization; active sonar; ambiguous contacts; antisubmarine warfare; bistatic source-target-receiver geometry; data fusion strategy; estimation procedure; false alarms; left-right ambiguity; multistatic underwater sensor networks; optimal estimation procedure; particle filtering approach; particle filtering methods; particle representation; posterior distribution; target state; Clutter; Antisubmarine warfare; Data fusion; autonomous underwater vehicles; left/right ambiguity; multistatic active sonar; particle filtering; target tracking; underwater wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Fusion (FUSION), 2013 16th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-605-86311-1-3
Type :
conf
Filename :
6641287
Link To Document :
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