Radar/ESM Anti-Bias Track Association Algorithm Based on Hierarchical Clustering in Formation

摘要

To address radar/ESM track association problem in formation in the presence of systematic biases, an anti-bias track association algorithm based on hierarchical clustering analysis is proposed. The influence of formation and systematic biases on association is analyzed first. In order to eliminate the effect of biases, the relative bearing bias between radar and ESM is estimated by hierarchical clustering for distance vectors in MPC. Finally, anti-bias track association is achieved based on the global optimal assignment. Simulation results indicate the proposed algorithm outperforms the state-of-the-art approaches.