The nonlinear function mapping relationship between RSSI and Euclidean distance is used to estimate distance of weak mobile target. This system improves positioning precision by rebuilding fitness function based on PSO positioning algorithm

on the basis of maximum likelihood estimation（ MLE） and combines with characteristics of electromagnetic wave propagation in free space. Besides

an adaptive learning mechanism of inertia weight optimization is put forward to optimize global searching ability and local searching precision. The fault tolerance of localization algorithm is promoted. With experiment on CC2530

it is proved to have the advantages of strong antiinterference

good robustness and high precision of wireless localization.