Star image processing of SINS/CNS integrated navigation system based on 1DWF under high dynamic conditions

Star sensor could work independently ignoring the outside interference, but the disadvantages of star sensor are low output frequency and the limitation in cloudy or rainy day. SINS/CNS integrated navigation system exactly makes up for the deficiencies. However, the practical environment of the surface ship with SINS/CNS integrated navigation system is complicated. It will make the star spots in the star image which is captured by star sensor blurred when the ship is in high dynamic motion condition, especially in the rotation motion. This special environment will results in the inaccurate identification of star image and decrease the gesture determination accuracy of star sensor. At the same time, the reliability of SINS/CNS integrated navigation system is much lower than that in static state. To solve this kind of problem, this paper sums up the previous methods and technologies of image processing, considers the complex and special environment where the SINS/CNS integrated navigation system works actually, and proposes a new improved algorithm which is based on one-dimensional Wiener Filter (1DWF). Through the analysis based on the designed experiment, the attitude and position output accuracy of the star sensor is as high as wiener filter. The result of the experiment demonstrates that the new developed algorithm based on 1DWF could be applied to the SINS/CNS integrated navigation system successfully.