A sub-array processing (SAP) technique for the localization of conductive buried objects is proposed. A Direction of Arrival (DoA) approach is implemented by using two different methodologies: a bearing algorithm based on the conventional MUltiple SIgnal Classification (MUSIC) implementation is compared with a Kernel-based technique, such as Support Vector Machines (SVM). An array of sensors is considered and partitioned in sub-arrays. A dominant DoA is found for each sub-array. By triangulating the DoAs, a crossing pattern is derived and it is statistically processed in order to estimate the object position.
Sub-array processing techniques applied to the detection of buried targets
PASTORINO, MATTEO;RANDAZZO, ANDREA;
2012-01-01
Abstract
A sub-array processing (SAP) technique for the localization of conductive buried objects is proposed. A Direction of Arrival (DoA) approach is implemented by using two different methodologies: a bearing algorithm based on the conventional MUltiple SIgnal Classification (MUSIC) implementation is compared with a Kernel-based technique, such as Support Vector Machines (SVM). An array of sensors is considered and partitioned in sub-arrays. A dominant DoA is found for each sub-array. By triangulating the DoAs, a crossing pattern is derived and it is statistically processed in order to estimate the object position.
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