Fusion Algorithm Based on Linear Minimum Variance and Recursive Least Squares
Shen Liu · Tance yu kongzhi xuebao · 2013
In view of the present underwater target location data fusion algorithm accuracy was of large error,This paper proposed a new data fusion algorithm of underwater target positioning for the distributed sensor network based on the linear minimum square estimation(LMSE) criterion.The algorithm used two-stage adaptive adjustment to acquire optimized weighting factor by the recursive least squares(RLS) algorithm.Simulation results of underwater static and moving target positioning showed that,compared with the single node localization,the positioning precision of the fusion algorithm was about one or two orders of magnitude higher.