Appling intelligent algorithm to wireless sensor networks（ WSNs） positioning technology is a new attempt

particle swarm optimization（ PSO） algorithm is one of the typical algorithms. According to the principle of ultra wideband（ UWB） localization

positioning model based on PSO algorithm is established

in non-line-of-sight（ NLOS） environment

use joint statistical properties of additional time delay caused by NLOS error and the root mean square delay spread decided by channel for NLOS error compensation

in the process of iterative

linear decreasing inertia weight is used

particle swarm update their own position and velocity by continuously tracking individual extremum and local extremum

so as to find the global optimal solution and the simulation results show that the accuracy is above 90%.