@inproceedings{1cec8dab121e4b61bd0b7368c2f29759,
title = "Entropy-based space object data association using an adaptive gaussian sum filter",
abstract = "This paper shows an approach to improve the statistical validity of orbital estimates and uncertainties as well as a method of associating measurements with the correct resident space objects and classifying events in near realtime. The approach involves using an adaptive Gaussian mixture solution to the Fokker-Planck-Kolmogorov equation for its applicability to the resident space object tracking problem. The Fokker-Planck-Kolmogorov equation describes the time-evolution of the probability density function for nonlinear stochastic systems with Gaussian inputs, which often results in non-Gaussian outputs. The adaptive Gaussian sum filter provides a computationally efficient and accurate solution for this equation, which captures the non-Gaussian behavior associated with these nononding measurement association methods are evaluated using simulated data in realistic scenarios to determine their performance and feasibility.",
author = "Giza, {Daniel R.} and Puneet Singla and Crassidis, {John L.} and Richard Linares and Cefola, {Paul J.} and Keric Hill",
note = "Funding Information: This work was supported by an Air Force Research Laboratory Phase I SBIR grant, FA9451-10-M-0089, under the supervision of Dr. Moriba Jah, and an Air Force Office of Scientific Research Phase I STTR grant,FA9550-10-C-0077, under the supervision of Dr. Kent Miller. The authors greatly appreciate the support.; AIAA/AAS Astrodynamics Specialist Conference 2010 ; Conference date: 02-08-2010 Through 05-08-2010",
year = "2010",
doi = "10.2514/6.2010-7526",
language = "English (US)",
isbn = "9781624101502",
series = "AIAA/AAS Astrodynamics Specialist Conference 2010",
booktitle = "AIAA/AAS Astrodynamics Specialist Conference 2010",
}