The problem of detecting and localizing point-like targets buried in a half-space medium from near scattered field measurements collected by a contactless platform under a multi-monostatic configuration is addressed. Under these measurement conditions, super-resolving algorithms such as MUSIC cannot be applied because of the data matrix is not full rank. In this contribution we propose a processing chain in which data rank is restored by working in the wavenumber domain, so that MUSIC can be safely applied without loosing its high resolution features. Achievable performance are assessed via numerical examples for a 2D scalar geometry.
Buried target localization using MUSIC algorithm and contactless measurement platforms
Cuccaro, Antonio;
2025-01-01
Abstract
The problem of detecting and localizing point-like targets buried in a half-space medium from near scattered field measurements collected by a contactless platform under a multi-monostatic configuration is addressed. Under these measurement conditions, super-resolving algorithms such as MUSIC cannot be applied because of the data matrix is not full rank. In this contribution we propose a processing chain in which data rank is restored by working in the wavenumber domain, so that MUSIC can be safely applied without loosing its high resolution features. Achievable performance are assessed via numerical examples for a 2D scalar geometry.File in questo prodotto:
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