Survey of multi-sensor track fusion
Qiao Xiang-dong · Systems engineering and electronics · 2009
Multi-sensor track fusion has many advantages over measurement fusion and is also one of the most developed branches of the information fusion field.Various mainstream track fusion algorithms,including covariance convex algorithm,Bar-Shalom Campo algorithm,information matrix algorithm,covariance intersection algorithm and best linear unbiased estimation algorithm,are investigated in detail,and some simulation results about them are given.In view of current research situation,some problems about the fusion of hybrid multiple model state estimation are put forward,and related proposals are given.