论文标题
来自损坏信号的无线网络中的强大本地化
Robust Localization in Wireless Networks From Corrupted Signals
论文作者
论文摘要
我们解决了无线网络中基于计时的本地化问题，当数据的不知名损坏因非理想信号条件而损坏时。尽管基于计时的技术可以准确本地化，但它们也对这种损坏的数据敏感。我们开发了一种可靠的方法，该方法适用于一系列本地化技术，包括在基于计划的传输中的到达时间，到达时间差异和时间差异。该方法是非参数，仅需要损坏数据的比例上的上限，从而避免了损坏噪声分布的分布假设。该方法的鲁棒性在数值实验中得到了证明。
We address the problem of timing-based localization in wireless networks, when an unknown fraction of data is corrupted by nonideal signal conditions. While timing-based techniques enable accurate localization, they are also sensitive to such corrupted data. We develop a robust method that is applicable to a range of localization techniques, including time-of-arrival, time-difference-of-arrival and time-difference in schedule-based transmissions. The method is nonparametric and requires only an upper bound on the fraction of corrupted data, thus obviating distributional assumptions of the corrupting noise distribution. The robustness of the method is demonstrated in numerical experiments.
