Ji, Yiming; Yu, Changbin (Brad); Anderson, Brian
In this paper a novel analytical approach to approximate and correct the bias in 2D localization problem is proposed. This new method mixes Taylor series and Jacobian matrices to determine the bias, and leads to an easily computed analytical bias expression. Importantly, we compare the proposed approach with a well-cited previous method using simulation data. Further we apply our method to bearing-only localization algorithms. Monte Carlo simulation results demonstrate that the proposed method...[Show more]
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