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首页> 外文期刊>The Journal of the Astronautical Sciences >Comparison of Covariance- Based Track Association Approaches Using Simulated Radar Data
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Comparison of Covariance- Based Track Association Approaches Using Simulated Radar Data

机译:使用模拟雷达数据比较基于协方差的航迹关联方法

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When the Air Force Space Surveillance Network observes an object that does not correlate to an entry in the Space Object Catalog, it is called an Uncorrelated Track (UCT). Some of these UCTs arise from objects that are not in the Space Catalog. Before a new object can be added to the catalog, three or four UCTs must be associated so that a meaningful state can be estimated. Covariance matrices can be used to associate the UCTs in a more statistically valid and automated manner than the current labor-intensive process; however, the choice of parameters used to represent the orbit state have a large impact on the results. Covariance-based track association was performed in 10-day simulations of 1,000 space objects within a 20-km band of semimajor axis using many different orbit parameters and propagation methods and compared with a fixed position gate association method. It was found that Cartesian covariance with linearized propagation performed poorly, but when the covariance was propagated with the Unscented Transform the results were much better. Elliptical curvilinear coordinates also performed well, as did covariance in osculating equinoctial elements propagated with the Unscented Transform, but a covariance in mean equinoctial elements propagated with the Unscented Transform achieved the best results
机译:当空军太空监视网络观察到与空间对象目录中的条目不相关的对象时,该对象称为不相关航迹(UCT)。这些UCT中的某些源自空间目录中未包含的对象。在将新对象添加到目录之前,必须先关联三个或四个UCT,以便可以估计有意义的状态。与当前的劳动密集型流程相比,可以使用协方差矩阵以更统计有效和自动化的方式关联UCT。但是,用来表示轨道状态的参数的选择对结果有很大的影响。基于协方差的航迹关联是在10天半长轴20 km波段内对1,000个空间物体进行模拟的,其中使用了许多不同的轨道参数和传播方法,并与固定位置门关联方法进行了比较。已经发现,具有线性传播的笛卡尔协方差性能较差,但是当使用无味变换传播协方差时,结果要好得多。椭圆曲线坐标也表现良好,与通过无味变换传播的等分元素的协方差也是如此,但通过无味变换传播的平均等分元素的协方差达到了最佳结果

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