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Feasibility of Single-Agent Localization from Sequential Measurements

机译：连续测量中单次代理定位的可行性

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摘要

Localization from a sequence of measurements is feasible when the localization error does not increase over time. Under the widely adopted Bayesian filtering perspective, the computation of this bound and the proof of its underlying results become intricate. This paper characterizes the necessary conditions for feasible localization of a single agent. In particular, we find closed- form expressions for the necessary conditions that the position or distance measurements must satisfy in localization systems to guarantee that the error bound does not increase over time. We corroborate the obtained expressions with numerical results revealing the usefulness of the conducted research in a case study of wireless localization.
机译：当定位误差随时间不增加时，从一系列测量序列中的本地化是可行的。根据广泛采用的贝叶斯过滤透视，对此界限的计算和其潜在结果证明变得复杂。本文表征了单个药剂的可行定位的必要条件。特别是，我们找到了用于必要条件的闭合表达式，即位置或距离测量必须满足本地化系统，以保证错误绑定不会随着时间的推移而增加。我们用数值结果证实了所获得的表达，揭示了在对无线本地化的案例研究中进行了研究的有用性。

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