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EnglishA 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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| Titolo: | Sub-array processing techniques applied to the detection of buried targets |
| Autori: | |
| Data di pubblicazione: | 2012 |
| 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. |
| Handle: | http://hdl.handle.net/11567/503147 |
| ISBN: | 9788890759901 |
| Appare nelle tipologie: | 04.01 - Contributo in atti di convegno |
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