Multi-source Distributed Radar-Infrared Track Association Method Based on Spatial Geometry

Abstract To improve the accuracy of track association between radar and infrared sensors, a multi-source distributed method based on spatial geometry is proposed. This uses rough fine to judge correlation tracks. Rough calculates statistical distance through weighted norm redundant information difference tracks determines threshold by hypothesis testing obtain multiple successfully correlated with Fine abstracts in into points lines space respectively. Through analytic geometry, calculated, results are obtained distance. The simulation show that performance better than nearest neighbor application association.