Research

Air Force Research Lab Visits VADeR Lab

Meaghan Allyn — Mon, 28 Oct 2024 15:56:48 +0000

Air Force Research Lab Visits VADeR Lab Meaghan Allyn Mon, 10/28/2024 - 09:56

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Prof. Holzinger Runs a Panel on SSA Tools & Algorithms at the Space Commerce Workshop

Anonymous — Wed, 25 Sep 2019 15:57:54 +0000

Prof. Holzinger Runs a Panel on SSA Tools & Algorithms at the Space Commerce Workshop Anonymous (not verified) Wed, 09/25/2019 - 09:57

On Sept. 12 the US Department of Commerce https://www.space.commerce.gov/">Office of Space Commerce held the Space Commerce Workshop on the NIST Boulder campus in Boulder, Colorado. Prof. Holzinger organized and moderated a panel discussing what new models and algorithms in Space Situational Awareness (SSA) would be most impactful. The panel consisted of representatives from government, industry, and academia, and also included a mix of established and new participants in SSA. From left to right in the above image, the panelists were Bob Ruttledge (Operations Chief, NOAA Space Weather Prediction Center), Moriba Jah (UT Austin), Marya Andrepont (Director of Technology Integration, Lockheed Martin Corporation), Jeff Aristoff (Vice President, Space Systems, Numerica Corporation), Michele Gaudreault (Deputy Chief Scientist, Air Force Space Command), and Marcus Holzinger (��Ҵ�ý�ƽ��). A summary of the workshop (and the panel discussion) will be published here in the coming weeks.

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A Sequential Dempster Shafer Particle Filter

Anonymous — Wed, 19 Sep 2018 12:03:57 +0000

A Sequential Dempster Shafer Particle Filter Anonymous (not verified) Wed, 09/19/2018 - 06:03

I'm pleased to say that Johnny Worthy's work on extending Dempster Shafer evidential reasoning to sequential particle filters has been accepted as a journal article in IEEE Transactions on Aerospace and Electronic Systems. The paper, titled "Sequential Estimation from Uninformative Priors Using Dempster-Shafer Theory," has particular value when initiating sequential estimation processes with unobservable priors.

In the paper, he rigorously constructs belief mass functions used to update both the belief and plausibility of individual particle hypotheses. Using Dempster's rule of combination, the collective belief and plausibility 'surfaces' can be constructed. Interestingly, he is able to show that as the problem becomes observable, the belief and plausibility surfaces collapse on to one another and exactly match a Bayesian particle filter at that instant. A final advantage of the approach is that belief may be assigned to the hypothesis that the true state does not lie within the admissible region, thus letting the operator know if their admissible region assumptions are incorrect.

Dr. Worthy was able to validate the approach on real data from the GT-SORT telescope using observations of the tumbling COSMOS 1247 space object.

Please join me in congratulating Johnny on this accomplishment!

A link to the published paper will be added when the paper is posted onine.

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