Correlation and 3D-tracking of objects by pointing sensors
| DWPI Title: Processor-based method for tracking one object utilizing multiple sensors, involves performing correlation processing on observation data and triangulation point in processor to determine if two of multiple sensors are tracking same object |
| Abstract: A method and system for tracking at least one object using a plurality of pointing sensors and a tracking system are disclosed herein. In a general embodiment, the tracking system is configured to receive a series of observation data relative to the at least one object over a time base for each of the plurality of pointing sensors. The observation data may include sensor position data, pointing vector data and observation error data. The tracking system may further determine a triangulation point using a magnitude of a shortest line connecting a line of sight value from each of the series of observation data from each of the plurality of sensors to the at least one object, and perform correlation processing on the observation data and triangulation point to determine if at least two of the plurality of sensors are tracking the same object. Observation data may also be branched, associated and pruned using new incoming observation data. |
| Use: Processor-based method for tracking at least one object in satellite, aerospace and other applications e.g. land, sea by utilizing multiple sensors. |
| Advantage: Reduce the velocity errors of the resulting 3D track. Assessing the correlation of 2D tracks significantly reduces the computation load from that required to assess the correlation of individual observations from the sensor and allows smoothing of the observations sets, which can reduce the state vector errors for the resulting 3D track. By adding triangulation points instead of single 2D observations reduce the error in estimated object velocity because the random observation error has is replaced by fit error from the triangulation. |
| Novelty: The method involves receiving a series of observation data relative to at least one object over a time base for each of multiple sensors. The triangulation point in a processor is determined using a magnitude (D.jk.) of a shortest line connecting a line of sight value (M.jk.) from each of the series of observation data from each of multiple sensors to the one object. The correlation processing on the observation data and triangulation point in the processor is performed (602) to determine if at least two of multiple sensors are tracking the same object. |
| Filed: 7/31/2014 |
| Application Number: US14448513A |
| Tech ID: SD 12557.0 |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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