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A Collision Probability Estimation Algorithm Used in the Space Debris Evolutionary Model
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A Collision Probability Estimation Algorithm Used in the Space Debris Evolutionary Model
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An in-depth analysis is performed on the problem that one parameter of the Cube model can affects the final simulation results of space debris long-term evolution model, which weakens the representativeness of the space debris evolution model. We made some improvements and proposed an Improved-Cube (I-Cube) model. By multiple Monte Carlo simulations, it is indicated that the I-Cube model offered a more accurate and more reasonable option for collision probability estimation in the space debris evolution process. The simulation results of space debris long-term evolution model are no longer sensitive to the collision probability estimation model parameters, thus improved the reliability of space debris long-term evolution model.
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Cited by 1 Pith paper
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Beyond the Cube: Overlapping Grid Methods for Debris Collision Risk Assessment
Double Cube recovers boundary-blind conjunctions at O(N) cost and a parameter-free Gaussian pair-distance correction calibrates the cube formula to ~0.08% residual on a controlled benchmark.
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