Autonomous Shape Estimation Using Ranging Sensors

摘要

This paper presents a novel approach to autonomous shape estimation of Resident Space Objects (RSO) using Random Finite Set (RFS) Bayesian estimation and techniques from stochastic optimal control. Estimating RSO shape is a key enabler for many future space operations including space debris removal, satellite diagnostics, and threat assessment and remediation. This paper develops the formulation and approach to the challenge of autonomous shape estimation and illustrates the utility of such systems under non-ideal conditions, e.g. without target RSO illumination or communication with the ground. The results show that the developed solution is able to autonomously estimate the shape of simulated unknown RSO.