Define data fusion in SDA and why is it used?

Define data fusion in SDA and why is it used?

• A. The practice of streaming data from sensors to the cloud for storage.
• B. The process of merging data from multiple sensors to produce a more accurate, unified view for decisions.
• C. The method of encrypting sensor data for secure transmission.
• D. The technique of calibrating a single sensor to improve precision.

Answer: (B)

Data fusion in SDA is about merging data from multiple sensors to create a single, more accurate picture of space objects and their movements for better decisions. By combining measurements such as range, angle, brightness, and motion from different instruments and platforms, you reduce uncertainty, improve tracking accuracy, and gain a more complete situational awareness. This approach also helps validate observations, suppress false alarms, and maintain robust estimates even when individual sensors face noise, occlusion, or gaps in coverage.

So, the reason this is used is that no one sensor provides perfect information all the time. Different sensors have complementary strengths and weaknesses, and fusing their data leverages those strengths to produce a clearer, more reliable view than any single sensor could on its own.

The other options don’t fit because streaming data to the cloud describes data transport and storage, not combining measurements; encrypting data focuses on security, not information fusion; calibrating a single sensor enhances that sensor alone, not the integrated view from multiple sensors.