| Citation: | GAN Linhai, LIU Jinmang, WANG Gang, et al. Maneuvering group target tracking with multi-model GGIW-GLMB algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2018, 44(10): 2185-2192. doi: 10.13700/j.bh.1001-5965.2018.0053(in Chinese)
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An multi-model Gamma Gaussian inverse Wishart-generalized labeled multi-Bernoulli (MM-GGIW-GLMB) algorithm is proposed for multiple maneuvering group target tracking. A multi-model approach is introduced for kinematic modeling, and best fitting Gauss (BFG) approximation is used to fuse the multiple models in the prediction stage, which subsequently ease the computational burden of multi-model approach. For a further performance improvement for target maneuvering, strong tracking filter (STF) is introduced to correct the predicted covariance calculated by BFG. The optimal sub-pattern assignment (OSPA) metric and its one standard deviation and labeling correctness are used to measure the maneuvering group target tracking performance of the algorithm. The simulation results indicate that the proposed algorithm can improve the performance of maneuvering group target tracking in accuracy and stability.
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