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6 May 2008 Dynamic sensor management of dispersed and disparate sensors for tracking resident space objects
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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.
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A. El-Fallah, A. Zatezalo, R. Mahler, R. K. Mehra, and D. Donatelli "Dynamic sensor management of dispersed and disparate sensors for tracking resident space objects", Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69680P (6 May 2008); https://doi.org/10.1117/12.778240
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