A data association method based on multi-radar detection of GEO targets
Linfeng Wang, Dingli Lou, Shuo Zhang, Linsheng Bu · Journal of Physics Conference Series · 2024
Abstract To enhance the association capability between measurements during the detection of dense geosynchronous equatorial orbit (GEO) targets, this article presents a data association method based on multi-radar detection of GEO targets. The proposed method utilizes range and velocity data from each radar station and employs direct solution and least squares methods to estimate the spatial position and velocity information of the targets, considering the spatial geometric relationships. Furthermore, a test statistic is constructed by using the Mahalanobis distance between the estimated and measured values of the targets’ spatial position and velocity. Finally, hypothesis testing is employed to achieve target association among different radar stations. The simulation results demonstrate that the proposed target association algorithm maintains a high level of correct association probability even for GEO targets with spatial distance differences in the kilometers range.