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Space Object Detection and Tracking Within a Finite Set Statistics Framework

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Technical Report,01 Feb 2015,31 Jan 2017

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Universidad de Chile Santiago Chile

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This report provides a summary of the work carried out in the second year of the SOARD project, Grant No. FA9550-15-1-0069, devoted to the investigation and improvement of the detection and tracking methods of inactive Resident Space Objects RSOs. In the second year, a Random Finite Set RFS based Joint Target Detection and Tracking lter was evaluated for the space object tracking scenarios and two extensions were developed in order to increase their robustness to unknown detection statistics. The performance of the extensions was evaluated using both simulated and real data from the Chilbolton Advanced Meteorological Radar CAMRa. Both pre-processed and raw data sets from the CAMRa were obtained. In the pre-processed data set, a maximum of one detection was reported per bearing angle based on detection methods used at the CAMRa site. The raw data was also processed by using a Constant False Alarm Rate algorithm that was able to report multiple detections per bearing angle, increasing the probability of detecting the target of interest.

Subject Categories:

  • Unmanned Spacecraft
  • Statistics and Probability
  • Active and Passive Radar Detection and Equipment

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