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Proceedings Paper

Space-based sensor management and geostationary satellites tracking
Author(s): A. El-Fallah; A. Zatezalo; R. Mahler; R. K. Mehra; D. Donatelli
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Paper Abstract

Sensor management for space situational awareness presents a daunting theoretical and practical challenge as it requires the use of multiple types of sensors on a variety of platforms to ensure that the space environment is continuously monitored. We demonstrate a new approach utilizing the Posterior Expected Number of Targets (PENT) as the sensor management objective function, an observation model for a space-based EO/IR sensor platform, and a Probability Hypothesis Density Particle Filter (PHD-PF) tracker. Simulation and results using actual Geostationary Satellites are presented. We also demonstrate enhanced performance by applying the ProgressiveWeighting Correction (PWC) method for regularization in the implementation of the PHD-PF tracker.

Paper Details

Date Published: 16 May 2007
PDF: 12 pages
Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670R (16 May 2007); doi: 10.1117/12.721320
Show Author Affiliations
A. El-Fallah, Scientific Systems Co., Inc. (United States)
A. Zatezalo, Scientific Systems Co., Inc. (United States)
R. Mahler, Lockheed Martin Tactical Defense Systems (United States)
R. K. Mehra, Scientific Systems Co., Inc. (United States)
D. Donatelli, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6567:
Signal Processing, Sensor Fusion, and Target Recognition XVI
Ivan Kadar, Editor(s)

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