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189 - Uncorrelated Tracks, Differing Phenomenologies and “More Data Is More Better”

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Content provided by Kratos. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kratos or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

On the Constellations Podcast, we’ll discuss data, data visualization, and processing data for better understanding. In this episode, Paul Graziani, CEO of COMSPOC, talks about Space Situational Awareness (SSA) and the value of data fusion in enhancing SSA. Paul describes the various data sources for SSA, such as optical data from telescopes, RF data from sensors, and radar data from ground-based or transmitter sources. He also explains how these sources differ. David discusses observing data and determining its integrity using a Kalman filter. He highlights the vast number of live and dead objects in space, as well as suspiciously maneuvering spacecraft. Mr. Graziani emphasizes data fusion as a key solution to this problem. He describes the ecosystem of companies, governments, labs, and academics that collectively serve the mission of SSA more effectively.

  continue reading

105 episoade

Artwork
iconDistribuie
 
Manage episode 439363269 series 1736643
Content provided by Kratos. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kratos or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.

On the Constellations Podcast, we’ll discuss data, data visualization, and processing data for better understanding. In this episode, Paul Graziani, CEO of COMSPOC, talks about Space Situational Awareness (SSA) and the value of data fusion in enhancing SSA. Paul describes the various data sources for SSA, such as optical data from telescopes, RF data from sensors, and radar data from ground-based or transmitter sources. He also explains how these sources differ. David discusses observing data and determining its integrity using a Kalman filter. He highlights the vast number of live and dead objects in space, as well as suspiciously maneuvering spacecraft. Mr. Graziani emphasizes data fusion as a key solution to this problem. He describes the ecosystem of companies, governments, labs, and academics that collectively serve the mission of SSA more effectively.

  continue reading

105 episoade

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