星敏感器视场空间误差修正方法和测试验证OA

With the continuous improvement in the imaging and positioning accuracy of remote sensing satellites,higher requirements have been put forward for the attitude measurement per-formance of star trackers.To mitigate measurement errors caused by differences in spot imaging characteristics between the center and edge regions of the field of view,as well as discrepancies between ground and on-orbit operating conditions,a field-of-view spatial error correction method is proposed.A star centroid filtering algorithm is employed to reduce errors generated by the image sensor.Based on multi-orbit star-spot slice image data,a Taylor-robust optimization calibration method is employed to optimize and fit the parameters of the calibration model.The proposed method is validated through ground-based star observation tests and on-orbit flight tests.The re-sults demonstrate that the method can effectively reduce low-frequency spatial errors across the field of view.Statistical analysis of on-orbit data using the optical-axis angle method reveals that the low-frequency spatial error is reduced from 0.0013 degrees to 0.0007 degrees across different orbital passes.The maximum satellite geolocation accuracy error is limited to 4.24m,while the attitude control accuracy is improved by 46.15%and the fuel consumption for attitude control is reduced by 71.00%.These results indicate that the proposed method has significant engineering application value for ultra-high-precision attitude measurement and precision mapping.