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《Journal of Projectiles,Rockets,Missiles and Guidance》 2006-S4
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Neutral Network Data Fusion for Maneuvering Targets Tracking

HOU Meng (Missile College,Airforce Engineering University,Shaanxi Sanyuan 713800,China)  
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.
【CateGory Index】: TJ765
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