Systems Engineering and Electronics ›› 2026, Vol. 48 ›› Issue (4): 1283-1291.doi: 10.12305/j.issn.1001-506X.2026.04.17

• Systems Engineering • Previous Articles    

Research on optimal base station distribution in multiple scenarios based on IPSO algorithm

Shuaichen LI1,2,3(), Jianfeng WU1,2,3,*(), Xiaoyan LIU1,3   

  1. 1. National Time Service Center,Chinese Academy of Sciences,Xi’an 710699,China
    2. University of Chinese Academy of Sciences,Beijing 100049
    3. Key Laboratory of Time Reference and Applications,Chinese Academy of Sciences,Xi’an 710699,China
  • Received:2024-12-18 Revised:2025-05-09 Accepted:2026-03-10 Online:2026-03-31 Published:2026-03-31
  • Contact: Jianfeng WU E-mail:lishuaichen21@mails.ucas.ac.cn;wujianf@ntsc.ac.cn

Abstract:

To address the problem of reasonable deployment of base stations in base station positioning, this paper investigates the optimal base station distribution problem in multiple-scenario indoor localization based on improved particle swarm optimization (IPSO) algorithm. Firstly, the theoretical minimum value of horizontal dilution of precision (HDOP) corresponding to different numbers of base stations is calculated and the recommended number of base stations for practical engineering is provided. Next, simulation experiments are conducted using the IPSO algorithm to calculate the optimal base station distribution schemes corresponding to different numbers of base stations in multiple scenarios such as rectangle, circle, “L” shape, and “loop” shape. Finally, the relationship between HDOP and base station network radius is studied, and simulation results show that there is a nonlinear inverse proportional relationship between base station network radius and HDOP, indicating the existence of an optimal base station network radius. This study provides theoretical basis and practical guidance for the reasonable distribution of base stations in multi scenario indoor positioning systems, which helps to promote the further improvement and development of indoor positioning technology.

Key words: indoor positioning, base station distribution, improved particle swarm optimization algorithm, horizontal dilution of precision (HDOP)

CLC Number: 

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