A Quadratic Programming Localization Based on TDOA Measurement
With the popularity of smart devices, applications based on location services have been widely used, and wireless positioning technology can provide accurate positioning information. However, due to the effect of non-line-of-sight (NLOS) errors, the performance of the system can drop significantly. Accordingly, this paper introduces the theory of quadratic programming optimization based on the research of the time difference of arrival (TDOA) theory and proposes an optimization algorithm that can effectively suppress the influence of NLOS error. Simulation results show that compared with other common wireless location algorithms, the proposed algorithm has more reliable positioning accuracy under different environment models and has better system stability.
KeywordsWireless localization The time difference of arrival (TDOA) Quadratic programming Non-line-of-sight propagation
This paper was sponsored by the National Natural Science Foundation of China under grant No. 61471322.
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