LLOP Localization Algorithm with Optimal Scaling in NLOS Wireless Propagations

摘要

Wireless localization has become an important issue in internet of things, but the non-line-of-sight (NLOS) propagation will degrade the performance of traditional localization algorithms. Therefore, an optimization-based localization algorithm is put forward by exploiting the linear line of position (LLOP) scheme, where the proposed algorithm models the NLOS problem as a quadratic programming problem, and then the position of the mobile node is estimated by solving this problem. Simulations show that the proposed algorithm can mitigate the NLOS error significantly if there are many base stations or there exist a few LOS base stations. Moreover, the simulation also proves that the proposed algorithm outperforms other algorithms in the NLOS environment.