Abstract
Abstract
Within an operational network of sensors, the generated measurement data in form of tracklets depend on various characteristics. Those range from sensor specifications over observation techniques to delivery process. All of the characteristics influence the value of a tracklet for subsequent product generation. For orbit determination processes, tracklets with a lot of measurements may be more valuable to a certain degree. The usage of a larger telescope may be beneficial in terms of positional accuracy. Regarding close approaches between operated satellites and other Resident Space Objects, tracklets should be inserted into the process as soon as possible. To cover all these aspects, a new tracklet-score metric is introduced, explained, and compared to other metrics, based on the following characteristics and parameters: latency of the delivery process, diameter of the primary mirror, number of measurements per tracklet, span of a tracklet, and whether there are large gaps between measurements inside a single tracklet. Why exactly these characteristics and parameters is explained before setting up the corresponding metric. We will define a metric for each characteristic and calculate tracklet scores for different scenarios to show the compatibility between different sensors.
Within the SMARTnet network, another method is currently implemented focussing on different aspects. This method is compared to the newly suggested one by using tracklets from the network. Finally, we discuss these methods regarding their pro and contra.