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Magnetic localization technology is widely used in military confrontation and daily life. Compared with localization systems which use arrays of magnetic sensors, the one based on a single three-component magnetic sensor have the advantages of low power consumption and small size, and are more suitable for mounting on small platforms with constraints of power and space. The innovation of this paper is taking the particle filter as the localization algorithm, which reduces the error caused by the nonlinearity of the localization system. Meanwhile, in this paper, the particle filter algorithm is optimized specifically for the localization system. This paper confirms that the localization method is applicable by Matlab simulation. Finally, the experiment shows that the maximum error (without the singular value) of the localization algorithm is 9.68066％.

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Research on Target Localization Algorithm for Single Three-Component Magnetic Sensor Based on Particle Filtering

  • 会议论文

  • 发表日期：

    2025年

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  • Jingrui Mao,
  • Bo Zhang,
  • Hanqiao Huang,
  • Wenxing Fu

摘要

Magnetic localization technology is widely used in military confrontation and daily life. Compared with localization systems which use arrays of magnetic sensors, the one based on a single three-component magnetic sensor have the advantages of low power consumption and small size, and are more suitable for mounting on small platforms with constraints of power and space. The innovation of this paper is taking the particle filter as the localization algorithm, which reduces the error caused by the nonlinearity of the localization system. Meanwhile, in this paper, the particle filter algorithm is optimized specifically for the localization system. This paper confirms that the localization method is applicable by Matlab simulation. Finally, the experiment shows that the maximum error (without the singular value) of the localization algorithm is 9.68066％.