考虑时间相关噪声的火星捕获段天文组合导航

To satisfy the requirement of high-precision real-time autonomous navigation during approaching Mars, an autonomous navigation method based on the combination of astronomical optical image measurement and astronomical spectral velocity measurement is proposed. A novel Kalman filter is proposed to solve the estimation problem in the case that the measurement noise and system noise are time correlated during approaching Mars. The effect of time correlated noise is analyzed, the state equations and measurement equations are constructed, and an improved Kalman filter equation is analyzed and deduced. Simulation results show that, compared with the traditional Kalman filter, the proposed method can improve the navigation accuracy by one order of magnitude, and has important reference value for the real-time high-precision autonomous navigation technology of the Mars exploration mission.