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Content Provider | IET Digital Library |
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Author | Zhang, Haiyang Qi, Xiaogang Wei, Qian Liu, Lifang |
Abstract | 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. |
Starting Page | 765 |
Ending Page | 773 |
Page Count | 9 |
ISSN | 17519675 |
Volume Number | 14 |
e-ISSN | 17519683 |
Issue Number | Issue 10, Dec (2020) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-spr/14/10 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2020.0001 |
Journal | IET Signal Processing |
Publisher Date | 2021-01-05 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Adjacent Topological Unit Communication Network Design, Planning And Routing Cooperative Communication Cooperative Localisation Problem Dense NLOS Environments Interpolation And Function Approximation Least Squares Approximation Least-square Method Localisation Performance LOS Anchor Node LOS Matrix NLOS Error NLOS Measurement Nonline-of-sight Environments Numerical Analysis Sensor Placement Signal Processing And Detection Sparse NLOS Environments Statistics Telecommunication Network Topology Time of Arrival Time-of-arrival Estimation TOA NLOS Mitigation Wireless Sensor Network |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering |
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