Collaborative space surveillance

This paper presents a space-based, space-surveillance study wherein the goal is to demonstrate the feasibility and scalability of the modeling and simulation of a distributed multi-agent multiple satellites tracking and prediction system. A flexible and modular system architecture that enables collaborative and efficient teaming among distributed agents is delineated. Hierarchical objective methodology is deployed to align the mission objectives with the diverse agents' capabilities and resources. A set of satellite platform and sensor configuration/models is considered. Detailed mathematical models of the satellite orbits including the mutual visibility function are simulated for combinations of GEO and LEO orbits. An Unscented Kalman Filter (UKF)/Distributed Unscented Information Filter (DUIF) for high-accuracy orbital determination and tracking is demonstrated to show that the LEO orbit estimation from the GEO satellite with only angle measurements based on UKF is an excellent approach. Simulation studies show that the rate of filter convergence depends on sample time period, initial error, process error, measurement errors as well as the relative geometry of the LEO and GEO satellite orbits.

[1]  R. Offereins.  Book review: Digital control system analysis and design , 1985 .

[2]  Rudolph van der Merwe,et al.  Sigma-point kalman filters for probabilistic inference in dynamic state-space models , 2004 .

[3]  Ching-Fang Lin,et al.  Failure detection and isolation structure for global positioning system autonomous integrity monitoring , 1995 .

[4]  Bernard Friedland.  Advanced control system design / by Bernard Friedland , 1996 .

[5]  Felix R. Hoots,et al.  SPACETRACK REPORT NO. 3 Models for Propagation of , 1988 .

[6]  Ching-Fang Lin,et al.  Failure diagnosis using the state chi-square test and the ARTMAP neural networks , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[7]  Ching-Fang Lin,et al.  Failure diagnosis system using ARTMAP neural networks , 1995 .

[8]  Siwate Rojanasoonthon,et al.  A branch‐and‐price algorithm for parallel machine scheduling with time windows and job priorities , 2006 .

[9]  James G. Miller,et al.  A New Sensor Allocation Algorithm for the Space Surveillance Network , 2007 .

[10]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[11]  David K. Barton.  Radar system analysis , 1976 .

[12]  Ching-Fang Lin,et al.  A new failure detection approach and its application to GPS autonomous integrity monitoring , 1995 .

[13]  Ching-Fang Lin,et al.  Sensitivity analysis algorithm for the state chi-square test , 1996 .

[14]  W. M. Cady,et al.  Radar Scanners and Radomes , 2007 .

[15]  Ching-Fang Lin,et al.  Modern Navigation, Guidance, And Control Processing , 1991 .

[16]  Beth L. Petrick.  Weighting Scheme for the Space Surveillance Network Automated Tasker. , 1994 .