Geodesic流多伯努利检测前跟踪方法

Due to the particle degeneracy, the particle filter based multi-Bernoulli track-before-detect (TBD) filter has an inaccurate estimate of the multi-target posterior density, which leads to the poor performance of measurement non-coherent integration.In order to solve this issue, the Geodesic particle flow is introduced into the multi-Bernoulli TBD algorithm to improve the estimation of the posterior density.In addition, in the track-merging step, the course information of the target is exploited, which reduces the probability of merging tracks of different targets when they cross.The performance of the proposed algorithm is verified by the simulation results of Swerling 1 fluctuating targets detecting and tracking in Rayleigh clutter.