DocumentCode :
3393012
Title :
Particle Filter for Information Management in an Autonomously Operating Activated Distributed Sensor Network
Author :
Ehlers, Frank
Author_Institution :
NATO Undersea Res. Centre, La Spezia
fYear :
2007
fDate :
18-21 June 2007
Firstpage :
1
Lastpage :
6
Abstract :
The performance of a multistatic particle filter is evaluated with the help of a test data set for several activation/receiver scenarios, signal to noise levels, signal fluctuation settings and target paths. The likelihood functions used include aspect dependency for a cylindrical object. The results of the performance evaluation are used to propose a procedure for the management of source activation and information exchange between the receivers.
Keywords :
array signal processing; data handling; distributed sensors; particle filtering (numerical methods); sonar tracking; activation-receiver scenarios; autonomous activated distributed sensor network; cylindrical object; information management; interreceiver information exchange management; interreceiver source activation management; likelihood function aspect dependency; multistatic particle filter performance; signal fluctuation settings; signal to noise ratio; target path; Acoustic sensors; Entropy; Fluctuations; Information management; Particle filters; Particle tracking; Signal processing algorithms; Sonar measurements; Target tracking; Time measurement; Multistatic active sonar tracking; Renyi Entropy; management of information generation and exchange in autonomously operating distributed sensor networks; particle filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS 2007 - Europe
Conference_Location :
Aberdeen
Print_ISBN :
978-1-4244-0635-7
Electronic_ISBN :
978-1-4244-0635-7
Type :
conf
DOI :
10.1109/OCEANSE.2007.4302292
Filename :
4302292
Link To Document :
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