Application of Neural Network-aided Kalman Filtering Technique in Target Tracking of Hypersonic Vehicle
ZHOU Yan-yan
WANG Ke
GAO Yu-peng
LI Xiao-bing
Abstract：Aiming at the characteristics of nonlinearity,strong coupling and maneuvering,parameter varity and unique aerodynamics and so on in hypersonic vehicle,the method of neural network aided Kalman fil-tering for the near space hypersonic vehicle is proposed,and be applied to study of hypersonic target track-ing by synthetically applying military operational research theory and method,system modeling technique, neural network technique and computer simulation technique,etc.The basic thought is making use of study capability of BP neural network to overcome the divergence problem in extended Kalman filter.After the extended Kalman filter,adding an error processing section makes filter concentrated.The simulation study shows that the algorithm is better than ones by extended Kalman filter.The Algorithm will have certain reference in target interception of hypersonic vehicle in Near Space.
Keywords：neural network aidingKalman filterhypersonic vehicletarget tracking
Publication Date：2014-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 32-35 )