Dispersed and disparate sensor management for tracking low earth orbit satellites

A. Zatezalo; A. El-Fallah; R. Mahler; R. K. Mehra; J. Brown

doi:10.1117/12.819299

11 May 2009 Dispersed and disparate sensor management for tracking low earth orbit satellites

A. Zatezalo, A. El-Fallah, R. Mahler, R. K. Mehra, J. Brown

Proceedings Volume 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII; 73360I (2009) https://doi.org/10.1117/12.819299
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

A. Zatezalo, A. El-Fallah, R. Mahler, R. K. Mehra, and J. Brown "Dispersed and disparate sensor management for tracking low earth orbit satellites", Proc. SPIE 7336, Signal Processing, Sensor Fusion, and Target Recognition XVIII, 73360I (11 May 2009); https://doi.org/10.1117/12.819299

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