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The performance of a range-based indoor positioning system is severely degraded by non-line-of-sight (NLOS) propagation due to the offsets in range measurements (i.e., NLOS errors). It is difficult to predict or mitigate the NLOS errors since they vary from one position to another due to changes in the environment. In this paper, we propose a novel NLOS error mitigation scheme based on the integration...
We study the problem of locating semi-static targets in non-line-of-sight (NLOS) environments using multiple sets of time-difference-of-arrival (TDOA) measurements. Specific focus is placed on the correlation between TDOA measurements caused by NLOS errors. We propose an algorithm which takes this correlation into account when fusing the available TDOA measurements and achieves high accuracy in estimating...
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