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Matched field processing: environmental focusing and source tracking with application to North Elba data set
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Autores
Orientador(es)
Resumo(s)
Experimental results on the localization of a
moving sound source in shallow water are presented. Genetic
algorithms (GA) are used to rst intensively estimate
the environment from a xed 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 approximatelly
50%. Further, using a band of 20 Hz instead of a single frequency
conducts to more stable source location estimantes.
Descrição
Palavras-chave
North Elba data set Environmental focusing
Contexto Educativo
Citação
C. SOARES, A. WALDHORST and S.M. JESUS, `Matched Field Processing: Environmental Focusing and Source Tracking with Application to North Elba Data Set'' in MTS/IEEE OCEANS'99, vol. 3, pp. 1598-1602.
Editora
IEEE