Wei, Junming; Ji, Yiming; Yu, Changbin (Brad)
In this paper, we verify a bias reduction algorithm proposed earlier through experiments. The accuracy of localization systems are influenced by many factors. Our focus is to improve the performance of localization systems by reducing the estimation bias. Many algorithms have been proposed to reduce bias, however, only simulation results are presented which only demonstrate the algorithms with ideal or generated synthetic data, so their performance in practical situation is unknown. To address...[Show more]
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