Abstract: Aiming to solve the track refined correlation problem of the formation targets with systematic errors, based on the characteristics of the formation tracks and fussy topology theory, an algorithm of track refined correlation within formation targets based on double fussy topology was proposed considering systematic errors. In this algorithm, the formation identification of each sensor was obtained based on the cyclic threshold model firstly. And then the formation center was used to replace the whole formation, the first fussy topology model was established by deeply analyzing the effect of system error on the track of formation center, that is to say the pre-interconnection of formation tracks and alignment of common target tracks were completed. At last, the second fussy topology model was established by the topological relations between the pre-interconnection of formation tracks and correlated tracks, in order to realize formation targets track refined correlation. The analysis results of the simulation data show that the general performance of this algorithm, which can meet the engineering requirement of the track refined correlation of the group targets with systematic errors very well, is better than that of fuzzy track alignment-correlation algorithm based on target invariant information, track alignment-correlation algorithm based on iterative closest track and modified weighted track correlation algorithm.