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Proceedings Paper

Dynamic sensor management of dispersed and disparate sensors for tracking resident space objects
Author(s): A. El-Fallah; A. Zatezalo; R. Mahler; R. K. Mehra; D. Donatelli
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Paper Abstract

Dynamic sensor management of dispersed and disparate sensors for space situational awareness presents daunting scientific and practical challenges as it requires optimal and accurate maintenance of all Resident Space Objects (RSOs) of interest. We demonstrate an approach to the space-based sensor management problem by extending a previously developed and tested sensor management objective function, the Posterior Expected Number of Targets (PENT), to disparate and dispersed sensors. This PENT extension together with observation models for various sensor platforms, and a Probability Hypothesis Density Particle Filter (PHD-PF) tracker provide a powerful tool for tackling this challenging problem. We demonstrate the approach using simulations for tracking RSOs by a Space Based Visible (SBV) sensor and ground based radars.

Paper Details

Date Published: 6 May 2008
PDF: 11 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680P (6 May 2008); doi: 10.1117/12.778240
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. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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