The Journal of China Universities of Posts and Telecommunications ›› 2023, Vol. 30 ›› Issue (5): 93-100.doi: 10. 19682 / j. cnki. 1005-8885. 2023. 0007

• Wireless • Previous Articles    

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
  • Supported by:
    the National Natural Science Foundation of China (61871050).


  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