The Gaussian Mixture probability hypothesis density (GM-PHD) method is employed to formulate the sequential fusing multi-sensor GM-PHD (SFMGM-PHD) algorithm.  Second, we propose the SFMGM-PHD algorithm to fuse the multi-sensor GM estimations in a sequential way.  Third, the unbalanced weighted fusing and adaptive sequence ordering methods are further proposed for two improved SFMGM-PHD algorithms. 
SFMGM-PHD