无源多传感器多目标跟踪中的属性数据关联算法研究

he key issues of multiple targets tracking by multiple passive sensors is the association of feature data. Compared to radar, passive sensors could give the targets’ feature data, which can be used in association. This paper introduces two effective algorithms of feature data association, the ‘elliptical threshold algorithm’ based on statistics distance and the ‘supports threshold algorithm’ based on D_S evidence theory. The two algorithms’ performance and characteristic are find and compared through the computer simulation. The algorithms are proved to be effective, especially when the features of different targets are not similar to each other.