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Detection and localization of buried objects in marin sediment

Zineb Saidi 
Abstract : This study proposed a new method to estimate both the bearing and the range of objects in a noisy environment and in presence of correlated signals. Higher-order statistics were used to cope with the noise problem, thus the slice cumulant matrices at each frequency bin were formed. Then, the coherent subspace method which consisted in a frequential smoothing was applied in order to cope with the signal correlation problem and in forming the focusing slice cumulant matrix. To estimate the range and the bearing objects, the focusing slice cumulant matrix was used instead of using the spectral matrix and the acoustic scattered field model was used instead of the plane wave model, in the MUSIC method (MUltiple SIgnal Classification). Signal phase uncertainties also have been treated in this study by using the DIRECT algorithm (DIviding RECTangles). The performances of this method were investigated through scaled tank tests associated with many spherical and cylindrical shells buried in an homogenous fine sand. The obtained results show that the proposed method is superior in terms of bearing and range estimation compared with the classical MUSIC algorithm. The range and the bearing objects were estimated with a significantly good accuracy thanks to the free space assumption.
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  • HAL Id : pastel-00002478, version 1



Zineb Saidi. Detection and localization of buried objects in marin sediment. Engineering Sciences [physics]. Arts et Métiers ParisTech, 2006. English. ⟨NNT : 2006ENAM0021⟩. ⟨pastel-00002478⟩



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