A Predictive Attitude Determination Algorithm

摘要: In this paper, a new and efficient algorithm is developed for attitude determination from vector observations. The algorithm, called the Predictive Attitude Determination (PAD) derived general nonlinear predictive filter approach. Traditional deterministic algorithms are shown to be suboptimal anisotropic measurement errors. major advantage of PAD that it can easily applied case where errors exist. Also, an analytical expression steady-state error covariance, which equivalent optimal covariance maximum likelihood techniques. Simulation studies indicate able accurately determine spacecraft, even radically