Data fusion method for autonomous-calibration star vector level star sensor with multiple fields of view

Abstract

The invention relates to a data fusion method for an autonomous-calibration star vector level star sensor with multiple fields of view, which is applied to star sensors with multiple fields of view. The star sensor with multiple fields of view is provided with 2-3 optical heads, and information detected by the optical heads is used for carrying out data fusion. The data fusion method comprises the following steps: S1, carrying out autonomous all-day identification by a plurality of optical heads; S2, selecting a reference head; if an installation matrix is loaded, skipping to step S3; if the installation matrix is not loaded, executing step S4; S3, carrying out star vector fusion with a solidified installation matrix, outputting attitudes and ending; and S4, carrying out autonomous calibration on the installation matrix, carrying out star vector fusion, outputting attitudes and ending. The data fusion method has the advantages that the star vector level fusion method avoids the limit of corner dimension among the heads in a star chart fusion method, overcomes the problem that the fusion attitude precision decreases due to few single head detection stars in attitude level fusion, and effectively upgrades the attitude precision and attitude output robustness of the star sensor.

Description

Technical field [0001] The invention relates to the technical field of aerospace measurement and control, in particular to a data fusion method of a star vector-level multi-view field star sensor with independent calibration. Background technique [0002] As a high-precision and high-reliability sensitive device, the star sensor provides attitude measurement information for spacecraft such as satellites and deep space probes. However, the traditional single-field star sensor's three-axis accuracy imbalance problem has affected its development and use. In recent years, multi-field star sensors, represented by France HYDRA, have continuously emerged. They use information fusion technology to comprehensively utilize detection information from multiple fields of view, effectively solving the problem of inconsistent three-axis accuracy, and greatly improving star sensitivity. The accuracy of the sensor has become one of the research and development directions of very high-precision s...

AI Technical Summary

Problems solved by technology

The installation relationship between the heads in HYDRA must be compared on the ground and cannot be optimized independently. However, due to the influence of vibration, thermal deformation and other factors during the use of the star sensor, the installation matrix between the heads will inevitably change and cannot be guaranteed. Fusion Pose Precision and Accuracy

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