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Proceedings Paper

Dispersed and disparate sensor management for tracking low earth orbit satellites
Author(s): A. Zatezalo; A. El-Fallah; R. Mahler; R. K. Mehra; J. Brown
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Paper Abstract

Optimal sensor management of dispersed and disparate sensors for tracking Low Earth Orbit (LEO) objects presents a daunting theoretical and practical challenge since it requires the optimal utilization of different types of sensors and platforms that include Ground Based Radars (GBRs) positioned throughout the globe, and the Space Based Visible (SBV) sensor on board LEO platforms. We derive and demonstrate new computationally efficient algorithms for multisensor-multiobject tracking of LEO objects. The algorithms are based on the Posterior Expected Number of Objects as the sensor management objective function, observation models for the sensors/platforms, and the Probability Hypothesis Density Particle Filter (PHD-PF) tracker.

Paper Details

Date Published: 11 May 2009
PDF: 12 pages
Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360I (11 May 2009); doi: 10.1117/12.819299
Show Author Affiliations
A. Zatezalo, Scientific Systems Co., Inc. (United States)
A. El-Fallah, Scientific Systems Co., Inc. (United States)
R. Mahler, Lockheed Martin Tactical Defense Systems (United States)
R. K. Mehra, Scientific Systems Co., Inc. (United States)
J. Brown, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 7336:
Signal Processing, Sensor Fusion, and Target Recognition XVIII
Ivan Kadar, Editor(s)

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