Open AccessTOA NLOS mitigation cooperative localisation algorithm based on topological unit
Author(s) -
Zhang Haiyang,
Qi Xiaogang,
Wei Qian,
Liu Lifang
Publication year - 2020
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2020.0001
Subject(s) - non line of sight propagation , computer science , algorithm , topology (electrical circuits) , multidimensional scaling , mathematics , machine learning , telecommunications , wireless , combinatorics
The accuracy of cooperative localisation can be severely degraded in non‐line‐of‐sight (NLOS) environments. To mitigate the NLOS errors, the cooperative localisation problem based on time of arrival (TOA) under the mixed line‐of‐sight (LOS)/NLOS conditions is addressed. By studying the topological relationship between nodes, a TOA NLOS mitigation cooperative localisation algorithm based on the topological unit is proposed. This algorithm is implemented under the classical multidimensional scaling framework. The adjacent topological unit of NLOS measurements are successfully identified by using the LOS matrix, and the NLOS measurements are re‐estimated using topological units. The least‐square method is used to transform the relative coordinates into absolute coordinates depending on the location of the anchor nodes. Compared to the existing methods, by employing the topological unit, this algorithm only requires the number of LOS anchor nodes to be 2 in the two‐dimensional plane, and the better localisation performance can be achieved. Simulation results show that the proposed method works well for both the sparse and dense NLOS environments.