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Mobile Multimedia Communications. 15th EAI International Conference, MobiMedia 2022, Virtual Event, July 22-24, 2022, Proceedings

Research Article

A Direct Location Algorithm Based on Gauss Newton Iteration

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23902-1_4,
        author={Zhong Gaozhi and Xiao Sa and Zhang Jie and Wu Xiangyu and Hou Changbo},
        title={A Direct Location Algorithm Based on Gauss Newton Iteration},
        proceedings={Mobile Multimedia Communications. 15th EAI International Conference, MobiMedia 2022, Virtual Event, July 22-24, 2022, Proceedings},
        proceedings_a={MOBIMEDIA},
        year={2023},
        month={2},
        keywords={Received signal strength Median weighted filtering Direct location algorithm},
        doi={10.1007/978-3-031-23902-1_4}
    }
    
  • Zhong Gaozhi
    Xiao Sa
    Zhang Jie
    Wu Xiangyu
    Hou Changbo
    Year: 2023
    A Direct Location Algorithm Based on Gauss Newton Iteration
    MOBIMEDIA
    Springer
    DOI: 10.1007/978-3-031-23902-1_4
Zhong Gaozhi,*, Xiao Sa, Zhang Jie, Wu Xiangyu, Hou Changbo
    *Contact email: 2845520623@qq.com

    Abstract

    Introduction: With the rise of logistics, navigation, takeout and other industries, location information plays a more and more important role in daily life. It is different from military positioning, which takes high positioning accuracy as the main principle. Due to the need to consider its popularity, civil positioning generally focuses on the principle of economy, and strives to reduce the hardware requirements of the positioning system as much as possible under the condition of reasonable and relaxed positioning accuracy.

    Objective: This paper aims to use the received signal strength to locate the emitter signal, and improve the positioning accuracy of the algorithm through continuous iteration and correction, so as to ensure the positioning accuracy on the premise that the positioning method based on RSS does not need additional hardware equipment.

    Methods: The algorithm in this paper locates the emitter based on the received signal strength, uses the median weighted filter to collect the emitter power and preliminarily screen out the gross error, then uses the genetic algorithm to select the initial point of the iteration, and uses the improved weighted least squares algorithm based on Gauss Newton iteration to estimate the parameters. Finally, an error correction module is added to further ensure the positioning accuracy.

    Keywords
    Received signal strength Median weighted filtering Direct location algorithm
    Published
    2023-02-01
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-031-23902-1_4
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