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Sensor Array Optimization for Seismic Estimation via Structured Sparse Inversion

IEEE EECCMC Conference 2018, Vaniyambadi (India)

S.M. Jesus sjesus(at),
LarSys, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro (Portugal).

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Ref.: in IEEE EECCMC Conference 2018, Vaniyambadi (India), 28-29 January 2018.

This paper presents a distributed sensor array optimization algorithm for Autonomous Underwater Vehicles (AUV)-based seismic surveying. The algorithm is based on a sparse formulation of bottom layer reflection resulting on a structured design matrix with the bottom return field. Since the design matrix structure depends also on the receiving system characteristics, field coherence is used as optimization criteria for determining sensor array position. The receiver positions are constrained by actual array characteristics and AUV relative position physical constraints. Simulated results based on actual physical propagation model data are provided for a three AUV 1D geometry case. These results show that a clear improvement can be reached regarding bottom layer resolution in depth and range. The developed methodology may be useful for the resource planning and setup of seismic surveying experiments involving moving sensing arrays such as those under test in the EU WiMUST project

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