Gaussian Sum Filters for Space Surveillance: Theory and Simulations

By Joshua T. Horwood, Nathan D. Aragon, Aubrey B. Poore. 2011

156 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/9ce0318f0907dd656a0a6ee18d5681fae9ca4071

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Moriba K. Jah
2. Robert H. Bishop
3. Brandon A. Jones
4. Alireza Doostan
5. Kyle J. Demars
6. George H. Born

In Computer Networks and Communications

1. Moriba K. Jah
2. Robert H. Bishop
3. Brandon A. Jones
4. Alireza Doostan
5. Kyle J. Demars
6. George H. Born

In Statistical and Nonlinear Physics

1. Brandon A. Jones
2. George H. Born
3. Moriba K. Jah
4. Robert H. Bishop
5. Alireza Doostan
6. Kyle J. Demars

Citations in the corpus

• Nonlinear Propagation of Orbit Uncertainty Using Non-Intrusive Polynomial Chaos (2013, methodology): “[7] required the propagation of over 100 distributions.”
• Entropy-Based Approach for Uncertainty Propagation of Nonlinear Dynamical Systems (2013, methodology): “have applied the Gaussian mixture approach to the propagation of uncertainty for space situational awareness [14].”