Open AccessA novel correction weighted localization algorithm for quadrilateral ranging
Author(s) -
Yaling Zhang,
Zhao Li,
Ran Zhou,
Jiaozhi Yuan,
Lijun Zhang,
Bo Yang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1930/1/012010
Subject(s) - ranging , quadrilateral , robustness (evolution) , algorithm , computer science , gaussian , gaussian process , signal strength , wireless sensor network , engineering , telecommunications , finite element method , gene , computer network , biochemistry , chemistry , physics , structural engineering , quantum mechanics
Localization technologies based on received signal strength indication (RSSI) have been widely used in indoor localization, however, RSSI is disturbed by transmitted power of equipment, infinite interference source and so on. To overcome this drawback, this paper proposes a novel correction weighted localization algorithm for quadrilateral ranging. The algorithm uses Gaussian-moving average filtering (GMAF) to process the data and regularized least square estimation to estimate the parameters of the log-normal shadowing model. Then, a weighted correction factor is introduced to locate the target node. Finally, the simulation and experimental results verify the accuracy and robustness of the proposed algorithm.