Define data fusion in SDA and why is it used?

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Multiple Choice

Define data fusion in SDA and why is it used?

Explanation:
Data fusion in SDA is the process of merging data from multiple sensors to produce a more accurate, unified view for decisions. By bringing together complementary information and accounting for the reliability and uncertainties of each measurement, fusion improves state estimation, reduces ambiguity, and makes tracking and threat assessment more robust. It also handles timing and reference-frame differences so data from different sources can be compared and combined effectively. In space domain awareness, this means you can form a clearer, single picture of objects and events, supporting faster, more confident decisions even when individual sensors have limitations or conflicting readings. The idea is not about simply streaming data, securing it, or calibrating one sensor—those address other needs.

Data fusion in SDA is the process of merging data from multiple sensors to produce a more accurate, unified view for decisions. By bringing together complementary information and accounting for the reliability and uncertainties of each measurement, fusion improves state estimation, reduces ambiguity, and makes tracking and threat assessment more robust. It also handles timing and reference-frame differences so data from different sources can be compared and combined effectively. In space domain awareness, this means you can form a clearer, single picture of objects and events, supporting faster, more confident decisions even when individual sensors have limitations or conflicting readings. The idea is not about simply streaming data, securing it, or calibrating one sensor—those address other needs.

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