Generalization of GLRT-Based Magnetic Anomaly Detection
Résumé
Magnetic anomaly detection (MAD) refers to a passive method used to reveal hidden magnetic masses and is most commonly based on a dipolar target model. This paper proposes a generalization of the MAD through a multipolar model that provides a more precise description of the anomaly and serves a twofold objective: to improve the detection performance , and to widen the variety of detectable targets. The dipole detection strategy – namely an orthonormal decomposition of the anomaly followed by a generalized likelihood ratio test – is hence revisited in the multipolar case. The performance are assessed analytically and the relevance of this generalization is demonstrated on multipolar scenarios.
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