An improved quadratic programming LLOP algorithm for wireless localization

Abstract

With the rapid increasing of smart devices, wireless positioning technology has become a hot research area. Accordingly, this paper puts forward an optimization-based localization in the wireless network, in which both the quadratic programming (QP) and the principle of linear line of position (LLOP) are taken into account. Moreover, a two-step improvement is proposed to enhance the constrained optimization model, and the simulations demonstrate its effectiveness. Among the tested localization methods, the proposed algorithm performs the best in the non-line-of-sight (NLOS) propagating environment, and its estimating stability over original LLOP algorithm is also obviously observed.