Computer Science

Computer Science ›› 2022, Vol. 49 ›› Issue (6A): 606-611.doi: 10.11896/jsjkx.210700108

• Computer Network • Previous Articles     Next Articles

WiFi-PDR Fusion Indoor Positioning Technology Based on Unscented Particle Filter

ZHOU Chu-lin, CHEN Jing-dong, HUANG Fan   

  1. Wuhan Digital Engineering Research Institute,Wuhan 430000,China
  • Online:2022-06-10 Published:2022-06-08
  • About author:ZHOU Chu-lin,born in 1996,master,engineer,is a member of China Compu-ter Federation.His main research in-terests include information fusion and artificial intelligence.
  • Supported by:
    Key R & D Program of Shandong Province,China(2020CXGC010701).

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Abstract: In order to improve the accuracy and stability of indoor positioning,this paper proposes an indoor positioning method based on WiFi-PDR fusion without trace particle filter.In order to reduce the influence of indoor complex environment on WiFi positioning,the weighted path loss algorithm is used to improve WiFi positioning.To reduce the cumulative effect of pedestrian track estimation errors,the walking period is divided by setting reference values and the acceleration data is smoothed and noise-reduced to improve the accuracy of step measurement.On the basis of improving WiFi and PDR positioning,a fusion positioning method using unscented particle filter is proposed,and the particle filter is optimized for robustness and adaptive to improve its robustness.Experimental simulation results show that this method can effectively improve the accuracy and stability of indoor positioning.

Key words: Indoor positioning, Information fusion, Pedestrian Dead Reckoning, Unscented particle filter, WiFi positioning

CLC Number: 

  • TP391.9
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