中文摘要：

针对传统标定算法精度存在受到初始值影响较大的问题，提出一种基于GA-LM融合的参数标定算法。首先分析了星敏感器系统误差对星点坐标位置的影响，确定各标定参数。接着充分利用了GA算法的全局搜索以及LM算法的局部寻优能力，提出一种融合算法解决了最小二乘算法依赖初值、易陷入局部收敛以及GA算法标定效率低、标定结果差的问题，通过半实物仿真系统实验表明，相比于优化前精度提高了88.099％，相比于传统最小二乘法的精度提高了68.015％，体现出了融合算法较大的优越性。

英文摘要：

Due to the effect of initial value on the measurement accuracy of tradition calibration algorithm,calibration algorithm of the parameters based on GA-LM fusion is proposed. Firstly, the effect of system error of star sensor on co- ordinate position of star points is analyzed ,then calibration parameters are decided. Secondly ,using the global search ability of GA algorithm and local search ability of LM algorithm, a fusion algorithm is proposed to solve some prob- lems. The results show that：compared with no calibration algorithm, the accuracy of this algorithm is improved by 88.099% ;compared with least squares algorithm, the accuracy of this algorithm is improved by 68.015 %. The fusion al- gorithm has certain superiority.