A Maneuvering Target-Tracking Algorithm Based on the BP Neural Network
Abstract：The IMM algorithm is a kind of filter that can track the target effectively. Aiming at the problem that it will under the track- ing precision and transfer probability thumb, this paper proposed a method that using BP Neural Network to amend the submodel filtering re- suit. Simulation shows that this method can improve the convergency velocity and convergency precision, which has some theory significance.
Keywords：maneuvering targettarget trackinginteractive muhiple modelsBP Neural Network
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 45-47 )