The Residual Analysis Based Particle Filter for NLOS Localization in Wireless Sensor Network

The localization is the one of the most promising technology in modern society. Wireless sensor network (WSN) as a popular method to solve the problem is being studied by many scholars. The main challenge in localization problem is the non-line of sight (NLOS) propagation. To overcome the issue, we present a method combing the particle filter and residual analysis. The residual analysis is a posteriori reliable algorithm. Particle filter is a powerful technique because it does not make any presumptions about the probability density function or the linearity of the system model. The mix of the residual analysis and particle filter could improve the localization accuracy. At the same time, the randomness of the particle improves the robustness of the method. Simulation results evaluate the effectiveness and the robustness of the proposed method.