  Earth is constantly being bombarded with material from space. Most of the
natural material end up being dust grains that litter the surface of Earth, but
larger bodies are known to impact every few decades. The most recent large
impact was Chelyabinsk which set off a 500-kiloton explosion which was 40 times
that of the Hiroshima nuclear explosion. Apart from meteors, there is a growing
threat of space assets deorbiting. With these impending space threats, it is
critical to have a constellation of satellites to autonomously lookout for
meteors and reentering space debris. By using multiple spacecraft, it is
possible to perform multipoint observation of the event. Through multipoint
observation, it is possible to triangulate the location of the observed event.
The detection, tracking, and analysis of these objects all need to be performed
autonomously. Our previous work focused on developing several vision algorithms
including blob-detection, feature detection, and neural network-based image
segment classification. For this multipoint observation to occur, it requires
multiple spacecraft to coordinate their actions particularly fixating on the
space observation target. Furthermore, communication and coordination are
needed for bringing new satellites into observation view and removing other
satellites that have lost their view. In this paper, we analyze
state-of-the-art observation technology for small satellites and perform
detailed design of its implementation. Through this study, we estimate the
error estimates on position, velocity, and acceleration. We presume use of low
to mid-tier cameras for the spacecraft.
