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

Jingrui Mao, Bo Zhang, Hanqiao Huang, Wenxing Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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%.

Original languageEnglish
Title of host publicationProceedings of 4th 2024 International Conference on Autonomous Unmanned Systems, 4th ICAUS 2024 - Volume V
EditorsLianqing Liu, Yifeng Niu, Wenxing Fu, Yi Qu
PublisherSpringer Science and Business Media Deutschland GmbH
Pages556-565
Number of pages10
ISBN (Print)9789819635719
DOIs
StatePublished - 2025
Externally publishedYes
Event4th International Conference on Autonomous Unmanned Systems, ICAUS 2024 - Shenyang, China
Duration: 19 Sep 202421 Sep 2024

Publication series

NameLecture Notes in Electrical Engineering
Volume1378 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Autonomous Unmanned Systems, ICAUS 2024
Country/TerritoryChina
CityShenyang
Period19/09/2421/09/24

Keywords

  • Magnetic Sensor localization
  • Particle Filter
  • Single Three-Component Magnetic Sensor

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