中国邮电高校学报(英文) ›› 2023, Vol. 30 ›› Issue (5): 93-100.doi: 10.19682/j.cnki.1005-8885.2023.0007

• Wireless • 上一篇    

Weighted semidefinite programming scheme for wireless positioning with lognormal shadowing

田克冈,徐文波,王思野,陈湘森   

  1. 北京邮电大学
  • 收稿日期:2022-10-07 修回日期:2023-03-06 出版日期:2023-10-31 发布日期:2023-10-30
  • 通讯作者: 徐文波 E-mail:xuwb@bupt.edu.cn
  • 基金资助:
    the National Natural Science Foundation of China (61871050).

Weighted semidefinite programming scheme for wireless positioning with lognormal shadowing

  1. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 10876, China
  • Received:2022-10-07 Revised:2023-03-06 Online:2023-10-31 Published:2023-10-30
  • Contact: Xu Wen-Bo E-mail:xuwb@bupt.edu.cn
  • Supported by:
    the National Natural Science Foundation of China (61871050).

摘要:

Received signal strength (RSS) based positioning schemes ignore the actual environmental feature that the volatility of RSS increases as signal propagation distance grows. Therefore, RSS over long distance generally has relatively large measurement error and degrades the positioning performance. To reduce the negative impact of these RSSs over long distances, a weighted semidefinite programming (WSDP) positioning scheme was proposed. The WSDP positioning scheme first assesses the signal propagation quality using the average variance of all RSS sets. Then appropriate weighting factors are set based on the variance of each RSS set, and a weighted semidefinite programming optimizer is formulated to estimate the positions of target nodes. Simulation results show that the WSDP positioning scheme can effectively improve the positioning performance.


关键词: 定位,接收信号强度,半正定规划,对数正态阴影

Abstract:

  Received signal strength (RSS) based positioning schemes ignore the actual environmental feature that the volatility of RSS increases as signal propagation distance grows. Therefore, RSS over long distance generally has relatively large measurement error and degrades the positioning performance. To reduce the negative impact of these RSSs over long distances, a weighted semidefinite programming (WSDP) positioning scheme was proposed. The WSDP positioning scheme first assesses the signal propagation quality using the average variance of all RSS sets. Then appropriate weighting factors are set based on the variance of each RSS set, and a weighted semidefinite programming optimizer is formulated to estimate the positions of target nodes. Simulation results show that the WSDP positioning scheme can effectively improve the positioning performance.

Key words: localization, received signal strength (RSS), semidefinite programming (SDP), lognormal shadowing