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Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I

Research Article

Research on WiFi Indoor Positioning Error Correction Method Based on Adaptive Genetic Algorithm

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  • @INPROCEEDINGS{10.1007/978-3-030-94551-0_30,
        author={Fa-yue Zheng},
        title={Research on WiFi Indoor Positioning Error Correction Method Based on Adaptive Genetic Algorithm},
        proceedings={Advanced Hybrid Information Processing. 5th EAI International Conference, ADHIP 2021, Virtual Event, October 22-24, 2021, Proceedings, Part I},
        proceedings_a={ADHIP},
        year={2022},
        month={1},
        keywords={Adaptive genetic algorithm Wifi; Indoor positioning Error correction},
        doi={10.1007/978-3-030-94551-0_30}
    }
    
  • Fa-yue Zheng
    Year: 2022
    Research on WiFi Indoor Positioning Error Correction Method Based on Adaptive Genetic Algorithm
    ADHIP
    Springer
    DOI: 10.1007/978-3-030-94551-0_30
Fa-yue Zheng1,*
  • 1: Mechanical and Electronic Engineering School, Beijing Polytechnic
*Contact email: fayue766@sohu.com

Abstract

In view of the shortcomings of traditional mean filtering and Kalman filtering in the process of receiving indoor WiFi positioning signal, a new method of correction of indoor positioning error based on adaptive genetic algorithm is proposed. In order to improve the accuracy of dynamic adaptive genetic signal processing, the algorithm uses adaptive genetic algorithm to modify the singular value of the average distance per hop and the error of measurement distance, and then the modified adaptive genetic value is processed again by weighted filter. The simulation results show that the algorithm has high accuracy, and compared with mean filter and Kalman filter, the algorithm has a great improvement in the influence of average ranging error and communication radius on the error.

Keywords
Adaptive genetic algorithm Wifi; Indoor positioning Error correction
Published
2022-01-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94551-0_30
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