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