Satellite conjunctions involving "near misses" of space objects are becoming increasingly likely. One approach to risk analysis for them involves the computation of the collision probability, but this has been regarded as having some counter-intuitive properties, and its meaning as a probability is unclear. We formulate an alternative approach based on a simple statistical model that allows highly accurate inference on the miss distance between the two objects, show that this provides a close approximation to a default Bayesian approach, illustrate the method with a case study, and give Monte Carlo results to show its excellent performance.
翻译:涉及空间物体“近距离失事”的卫星连接正变得越来越有可能。 一种风险分析方法涉及对碰撞概率的计算,但这一方法被认为具有某些反直觉特性,其作为概率的含义也不清楚。 我们根据一个简单统计模型制定另一种方法,该模型允许对两个物体之间的误差进行非常准确的推断,表明这种方法近似于一种默认的巴耶斯方法,用案例研究来说明这种方法,并给蒙特卡洛提供结果,以显示其出色的性能。