DocumentCode :
177962
Title :
Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity
Author :
Goldhahn, Ryan ; Braca, Paolo ; LePage, Kevin D. ; Willett, P. ; Marano, Stefano ; Matta, Vincenzo
Author_Institution :
NATO STO CMRE, La Spezia, Italy
fYear :
2014
fDate :
4-9 May 2014
Firstpage :
1458
Lastpage :
1462
Abstract :
This paper presents a Bayesian multi-sensor tracking strategy for a network of autonomous underwater vehicles (AUVs) for the purpose of anti-submarine warfare (ASW). A bistatic configuration and the corresponding acoustic model for the bistatic signal-to-noise ratio (SNR) is used. The Bayesian posterior distribution of the target state based on all available information from sensors and on the acoustic model is reconstructed via particle filtering methods, taking into account the port-starboard ambiguity typical of horizontal line arrays. The posterior distribution is the optimal estimation procedure, the only approximation derives from the particle representation. The effectiveness of the proposed algorithm is demonstrated on a real data set collected by the NATO Centre for Maritime Research and Experimentation (CMRE) during the NATO Proud Manta 2012 exercise (ExPOMA12).
Keywords :
autonomous underwater vehicles; military vehicles; particle filtering (numerical methods); sensor fusion; statistical distributions; ASW; Bayesian multi-sensor tracking strategy; Bayesian posterior distribution; NATO Centre for Maritime Research and Experimentation; NATO Proud Manta 2012 exercise; SNR; anti-submarine warfare; autonomous underwater vehicles; bistatic configuration; bistatic signal-to-noise ratio; environmentally sensitive particle filter tracking; horizontal line arrays; multistatic AUV networks; particle representation; port-starboard ambiguity; Acoustics; Conferences; Decision support systems; Speech; Speech processing; Antisubmarine warfare; Data fusion; autonomous underwater vehicles; multistatic active sonar; particle filtering; port-starboard ambiguity; target tracking; underwater wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
Type :
conf
DOI :
10.1109/ICASSP.2014.6853839
Filename :
6853839
Link To Document :
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