Space-based sensor management and geostationary satellites tracking

A. El-Fallah; A. Zatezalo; R. Mahler; R. K. Mehra; D. Donatelli

doi:10.1117/12.721320

16 May 2007 Space-based sensor management and geostationary satellites tracking

A. El-Fallah, A. Zatezalo, R. Mahler, R. K. Mehra, D. Donatelli

Proceedings Volume 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI; 65670R (2007) https://doi.org/10.1117/12.721320
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

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.

Citation Download Citation

A. El-Fallah, A. Zatezalo, R. Mahler, R. K. Mehra, and D. Donatelli "Space-based sensor management and geostationary satellites tracking", Proc. SPIE 6567, Signal Processing, Sensor Fusion, and Target Recognition XVI, 65670R (16 May 2007); https://doi.org/10.1117/12.721320

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