Abstract: Aiming to solve the track refined correlation problem of the formation targets with systematic errors, an algorithm of track refined correlation for formation targets based on systematic error automatic compensation and the characteristics of the formation tracks was proposed with the error estimation technique and the track correlation technique. In this algorithm, the formations are identified by the tracks of the sensors based on the circulatory threshold model firstly. Secondly, the preparatory correlation formations with the nearest resolving state are searched or established based on the formation track state identification model. Thirdly, the final systematic errors are estimated with formation track systematic error estimation model and error validation model. Furthermore, the error compensation is completed. Finally, formation track refined correlation is done by use of the traditional track correlation algorithms. The analysis results of the simulation data show that the general performance of this algorithm can meet the engineering requirement of the track refined correlation for the formation targets very well. It is much better than that of fuzzy track alignment-correlation algorithm based on target topological information, track alignment-correlation algorithm based on iterative closest track and modified weighted track correlation algorithm.

Key words: Formation track refined correlation, Formation track state identification model, Formation track systematic error, Estimation model, Error validation model