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IET Seminar on Target Tracking and Data Fusion: Algorithms and Applications
Presented in this paper is a detailed novel approach to tracking multiple moving targets from multiple moving platforms and fusing the individual estimates within platform centric nodes via covariance intersection. The approach presents a method of deconstructing the target model into a nonlinear element and a Kalman Filter, modelling the target position and velocity vectors of the targets. The method avoids the increased complexity of using Extended Kalman Filters. The model state noisedoi:10.1049/ic:20080071 fatcat:ojfpk3772rdizm7uaqt5cw2b7m