Method for TDOA localisation in over-the-horizon environments
| Autor: | Jian-Xin Liu, Xing-Peng Mao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
target tracking
convex programming mathematical programming time-of-arrival estimation signal-to-noise ratio sdp algorithms traditional positioning model straight line propagation path base stations g-semidefinite programming modified semidefinite programming algorithm ground-wave over-the-horizon time difference-of-arrival localisation model over-the-horizon environments tdoa localisation Engineering (General). Civil engineering (General) TA1-2040 |
| Zdroj: | The Journal of Engineering (2019) |
| Druh dokumentu: | article |
| ISSN: | 2051-3305 |
| DOI: | 10.1049/joe.2019.0279 |
| Popis: | Here, the authors propose a new over-the-horizon time-difference-of-arrival localisation model based on the ground-wave and simultaneously put forward a modified semi-definite programming algorithm, which is called Ground-wave semi-definite programming (G-SDP). If both the target and the base stations are on the surface of the earth and far away from each other, the propagation path of the signal is a curve along the surface instead of a straight line, thus making the traditional positioning model inefficient. To overcome the problem, they develop a novel localisation model and explore a priori information to achieve improvements on SDP algorithms. An iteration trick is also utilised to obtain better performance when the signal-to-noise ratio is low. The simulation results show the merits of the improved model and G-SDP. |
| Databáze: | Directory of Open Access Journals |
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