DocumentCode :
375920
Title :
Model-based tracking for autonomous arrays
Author :
Porter, Michael B. ; Hursky, Paul ; Tiemann, Christopher O. ; Stevenson, Mark
Author_Institution :
Sci. Applications Int. Corp., La Jolla, CA, USA
Volume :
2
fYear :
2001
fDate :
2001
Firstpage :
786
Abstract :
Over the last 30 years, model-based approaches to array signal processing have evolved considerably to the point where initial skepticism has been replaced by casual acceptance. Still challenges remain. In this work the authors are progressing to a fully autonomous implementation in which all of the processing is done within the array. Target tracks are then passed to the surface using acoustic links. This requirement is a big challenge in that the algorithms must be fast to operate in real-time on modest embedded computers. They also must be robust enough to function without human invention. They describe one approach and its performance in an experimental sea test with a prototype autonomous array
Keywords :
acoustic arrays; acoustic signal processing; array signal processing; geophysical signal processing; military systems; oceanographic techniques; sonar arrays; sonar tracking; underwater sound; acoustic location; array signal processing; autonomous array; correlation processing; depth discrimination; lightweight deployable array; marine mammal; measurement technique; military system; model based tracking; model-based localization; ocean; passive array; underwater target; Acoustic arrays; Acoustic testing; Array signal processing; Embedded computing; Predictive models; Prototypes; Robustness; Sea surface; Signal processing algorithms; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS, 2001. MTS/IEEE Conference and Exhibition
Conference_Location :
Honolulu, HI
Print_ISBN :
0-933957-28-9
Type :
conf
DOI :
10.1109/OCEANS.2001.968220
Filename :
968220
Link To Document :
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