Semidefinite Programming for NLOS Error Mitigation in TDOA Localization
| Autor: | Zhenqiang Su, Huaping Liu, Genfu Shao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Convex hull
Semidefinite programming Computer science 010401 analytical chemistry 020206 networking & telecommunications Ranging 02 engineering and technology Multilateration 01 natural sciences 0104 chemical sciences Computer Science Applications Non-line-of-sight propagation Modeling and Simulation Convex optimization Computer Science::Networking and Internet Architecture 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Convex function Algorithm |
| Zdroj: | IEEE Communications Letters. 22:1430-1433 |
| ISSN: | 2373-7891 1089-7798 |
| DOI: | 10.1109/lcomm.2017.2787739 |
| Popis: | Non-line-of-sight (NLOS) error mitigation for the time-of-arrival (TOA) localization has been extensively studied, but these methods cannot be directly applied for the time-difference-of-arrival (TDOA) systems. Recent work has applied convex optimization for NLOS error mitigation in TDOA systems. Issues remain unsolved with this technique include the convex hull problem, reference-anchor selection problem, and difficulties dealing with a wide range of NLOS-caused ranging errors. This letter proposes a new technique to transform a TDOA model into a TOA model and develops a semidefinite programming method with new constraints for effective NLOS error mitigation in TDOA systems. Major advantages of this method include: 1) it resolves the issues such as convex hull and reference-anchor selection issues that existing schemes are facing; 2) it does not require any a priori information about NLOS links or NLOS error statistics; and 3) it achieves a better performance than existing convex optimization schemes, which is verified in both simulation and real experiments. |
| Databáze: | OpenAIRE |
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