Collaborative sensor scheduling for space situational awareness

Hobson, Tyler A. and Clarkson, I. Vaughan L. (2012). Collaborative sensor scheduling for space situational awareness. In: , 2012 IEEE Statistical Signal Processing Workshop (SSP). IEEE Statistical Signal Processing Workshop (SSP), Ann Arbor, MI, United States, (640-643). 5-8 August 2012.

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Author Hobson, Tyler A.
Clarkson, I. Vaughan L.
Title of paper Collaborative sensor scheduling for space situational awareness
Conference Paper Type Fully Published Paper
Conference name IEEE Statistical Signal Processing Workshop (SSP)
DOI 10.1109/SSP.2012.6319782
Conference location Ann Arbor, MI, United States
Conference dates 5-8 August 2012
Proceedings title 2012 IEEE Statistical Signal Processing Workshop (SSP)
Place published New York, United States
Publisher IEEE
Publication date 2012
ISBN 9781467301817; 9781467301824
Start page 640
End page 643
Total pages 4
Collection year 2013
Language eng
Abstract/Summary In this paper, we investigate a method for simultaneously scheduling multiple space surveillance sensors that has the potential to exploit measurement level sensor fusion to improve orbital state estimation accuracy. State error covariance information is used to predict the influence independent and combined measurements will have on estimation accuracy during a prescribed scheduling period. The resulting information provides a means of determining the best sensor combination to observe each object of a population at the most beneficial time. We present a comparative study of multi-sensor scheduling over independent sensor scheduling by means of numerical simulation. We find that there is a delicate balance to be maintained between the higher statistical effectiveness of simultaneous observations and the total number of objects that can be observed during a scheduling period.
Keyword Sensor Fusion
Sensor Scheduling
Ssa
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Sub-type: Fully Published Paper
Collections: Official 2013 Collection
School of Information Technology and Electrical Engineering Publications
 
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