Orthogonal Matching Pursuit for ferromagnetic target localization and identification

Magnetic sensors have been underutilized in wireless sensor networks (WSNs) compared to other sensing modalities, with most research focusing on detecting large ferromagnetic objects such as vehicles or aircraft. This paper investigates the feasibility of using magnetic sensors for detecting, tracking, and identifying small-scale targets moving within a 30 cm radius. Unlike conventional approaches that extract only coarse information like direction or passage detection, this study explores the sensing granularity and limitations of magnetic sensors in more detailed scenarios. The Orthogonal Matching Pursuit (OMP) algorithm is employed to process the magnetic field variations for enhanced signal interpretation. The findings provide insight into the capabilities of magnetic sensors for fine-grained analysis and lay the groundwork for developing intelligent and energy-efficient magnetic WSNs.

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