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The paper addresses the multi-target tracking problem in the framework of asynchronous sensor system. A real-time fusion algorithm is presented for asynchronous sensor system where sensors are allowed to work asynchronously with aperiodic sampling. A real-time sequentially fusion method based on Generalized Covariance Intersection (G-CI), called RTS-GCI, is presented. The proposed RTS-GCI fusion algorithm...
The paper addresses a fast implementation algorithm about distributed fusion with CPHD filter. An implementation method of distributed fusion based on maximum probability association (MPA), called MPA-DF, is presented. Though the performance of MPA-DF is a little worse than traditional Generalization Covariance Intersection (GCI) distributed fusion method, called GCI-DF, the former needs lower computational...
The paper addresses the multi-target tracking problem in the framework of asynchronous radars system. Based on probability hypothesis density (PHD) filter, we propose two fusion methods. The first one transfers information between different radar nodes, named as Sequence Process PHD (SP-PHD) fusion, it combines the prediction and update steps of a PHD filter, time alignment and recursive state estimation...
This paper addresses multiple targets tracking problem using multiple different resolution sensors via Dynamic Programming (DP) based Track-Before-Detect (TBD). Generally, DP-TBD is a grid-based method that estimates target trajectories by means of searching all the physically admissible paths in a determinate discrete state space. In actual war, by using the Radar Cross Section (RCS) spatial diversity,...
Passive sonar has been widely researched and used in underwater target tracking for its high covertness. In this paper, the detection and tracking of an unknown and time-varying number of targets for a towed sonar system is considered. To enhance the detection and tracking performance, a track-before-detect (TBD) based signal processing method is devised. Specifically, the raw bearing measurements...
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