The calibration method based on integrated modeling with intrinsic and extrinsic parameters is widely used for star sensors. However, the unified optimization of parameters results in the coupling between intrinsic and extrinsic parameters in this method, further influencing the calibration accuracy of the intrinsic parameters and causing certain limitations for the practical applications involving precise extrinsic parameters. A novel calibration method for star sensors with separation of intrinsic and extrinsic parameters is proposed in this paper to solve the issue. Firstly, the coupling form of intrinsic and extrinsic parameters in the integrated calibration model is analyzed, and the coupling degree is analyzed through the partial correlation coefficient (PCC). Then, on the basis of the analysis results, combined with the applications of star sensors in satellites and missiles, the extrinsic parameters coupled with the intrinsic parameters are separated individually, and the intrinsic and extrinsic parameters without coupling are optimized nonlinearly as a whole. The experimental results verify the validity of the proposed method.

中文翻译：

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恒星传感器校准，将内部和外部参数分开。

基于具有内在和外在参数的集成建模的校准方法被广泛用于恒星传感器。然而，参数的统一优化导致该方法中固有参数和外部参数之间的耦合，进一步影响了固有参数的校准精度，并导致涉及精确外部参数的实际应用受到某些限制。为了解决这一问题，本文提出了一种将内在和外在参数分离的恒星传感器校准方法。首先，分析了集成标定模型中内在和外在参数的耦合形式，并通过偏相关系数（PCC）分析了耦合度。然后，根据分析结果，结合恒星传感器在卫星和导弹中的应用，将与本征参数耦合的外在参数分别分离出来，并且对没有耦合的本征和外在参数进行了整体非线性优化。实验结果证明了该方法的有效性。