UAV-Assisted Localization Based on Joint TOA-RSS NLOS Identification

In this letter, UAV-assisted localization of terrestrial nodes based on identification is investigated. The proposed algorithm is intended to alleviate adverse effects of non-line-of-sight (NLOS) propagation and considers air-to-ground channel model, which is mainly divided into two parts: identification and localization. First, UAV is used as an aerial mobile anchor to capture time-of-arrival (TOA) and received signal strength (RSS) measurements. According to Neyman-Pearson theorem, a joint TOA-RSS hypothesis test is performed to identify NLOS links. After that, if there are enough line-of-sight (LOS) measurements, NLOS links are discarded and only LOS links are used for multilateration. Simulation results demonstrate that the proposed algorithm outperforms for identifying NLOS links compared with existing methods, and can ensure high localization accuracy in NLOS propagation environment.