Neutral Network Data Fusion for Maneuvering Targets Tracking
Meng Hou · Journal of Projectiles.Rockets.Missiles and Guidance · 2006
A neural network data fusion approach for radar/infrared dual mode guidance was presented.By taking a neural network consisting of one neuron for each componet of the measurement vector as the fusion center,the infrared meas- urements were fused first to keep synchronous with the radar measurements processed by Kalman filter.The processed data were then transmitted to the central neural network where a fused estimation of target was formed.The goal of this paper was to propose a method for computing the fused estimation in the absence of convariance information.Simulation result was demonstrated the effectiveness of this method.