This paper presents a new Strap-down Inertial Navigation System/Spectrum Red-Shift/Star\nSensor (SINS/SRS/SS) system integration methodology to improve the autonomy and reliability of\nspacecraft navigation using the spectrum red-shift information from natural celestial bodies such\nas the Sun, Jupiter and the Earth. The system models for SINS/SRS/SS integration are established.\nThe information fusion of SINS/SRS/SS integration is designed as the structure of the federated\nKalman filter to fuse the local estimations of SINS/SRS and SINS/SS integrated subsystems to\ngenerate the global state estimation for spacecraft navigation. A new robust adaptive unscented\nparticle filter is also developed to obtain the local state estimations of SINS/SRS and SINS/SS\nintegrated subsystems in a parallel manner. The simulation results demonstrate that the proposed\nmethodology for SINS/SRS/SS integration can effectively calculate navigation solutions, leading to\nstrong autonomy and high reliability for spacecraft navigation.
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