In node localization technology of distributed sensor networks

using data fusion method to improve detection performance and localization precision of detection system have become the research focus. Propose a new data fusion localization algorithm for distributed sensor networks

by weighted summation of location information of each sensor node to carry out data fusion and improve precision of target position. The initial value of weight coefficients are calculated by using linear least mean square error（ LMSE） algorithm

and then are adaptively adjusted to achieve optimal using training node and recursive least square（ RLS） algorithm. Simulations on data fusion algorithm for static and mobile t

argets positioning are given

and resu lts show that compared with the single node localization

positioning precision of the presented fusion algorithm increases 1

2 order.