DocumentCode :
3263310
Title :
Matched field processing: environmental focusing and source tracking with application to the North Elba data set
Author :
Soares, Cristiano ; Waldhorst, Andreas ; Jesus, S.M.
Author_Institution :
UCEH, Algarve Univ., Faro, Portugal
Volume :
3
fYear :
1999
fDate :
1999
Firstpage :
1598
Abstract :
Experimental results on the localization of a moving sound source in shallow water are presented. Genetic algorithms (GA) are used to first intensively estimate the environment from a fixed source part of the data. Then, assuming the stationarity of the environment, localization is carried out in the moving source part of the data. Comparison with results obtained previously on the same data set shows that the source range error is reduced by 75%, while the source depth error is reduced by approximately 50%
Keywords :
direction-of-arrival estimation; genetic algorithms; sonar tracking; target tracking; North Elba data set; environmental focusing; genetic algorithms; matched field processing; moving sound source; shallow water; source depth error; source range error; source tracking; Acoustic arrays; Acoustic measurements; Acoustic sensors; Frequency estimation; Genetic algorithms; Parameter estimation; Position measurement; Predictive models; Sensor arrays; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
OCEANS '99 MTS/IEEE. Riding the Crest into the 21st Century
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-5628-4
Type :
conf
DOI :
10.1109/OCEANS.1999.800246
Filename :
800246
Link To Document :
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