Data Association Method Based on Fractal Theory

Jianhua Wang
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引用次数: 1

Abstract

Fractal method is applied to resolve data association of multi-target tracking. G-P algorithm is adopted to calculate correlation dimension of measurement dimension, then measurement space is reconstructed through delay coordinate state space reconstruction method, there exists statistical similarity between reconstructed measurement and target state, relying on such similarity, data association is accomplished. Simulation results indicate that fractal algorithm has faster convergence speed and better tracking precision
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基于分形理论的数据关联方法
采用分形方法解决多目标跟踪的数据关联问题。采用G-P算法计算测量维数的相关维数,然后通过延迟坐标状态空间重构方法重构测量空间,重构后的测量与目标状态之间存在统计相似性,依靠这种相似性完成数据关联。仿真结果表明,分形算法具有更快的收敛速度和更好的跟踪精度
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