Robust localization in wireless networks from corrupted signals

We address the problem of timing-based localization in wireless networks, when an unknown fraction data is corrupted by nonideal signal conditions. While techniques enable accurate localization, they are also sensitive to such data. develop a robust method that applicable range techniques, including time-of-arrival, time-difference-of-arrival and time-difference schedule-based transmissions. The nonparametric requires only upper bound on data, thus obviating distributional assumptions corrupting noise distribution. robustness demonstrated numerical experiments.