Artificial neural networks are proposed in this paper, which are used to detect and diagnose faults of hardware for the satellite attitude measurement system. The result is satisfied.
针对卫星姿态测量系统的硬件故障，应用人工神经网络进行故障检测与诊断，得到了较为满意的结果。
The Kalman filter is suitable to the measuring system of a remote sensing satellite, by which an attitude measurement information with lower noise can be obtained.
本文设计的卡尔曼滤波器适用于对地观测卫星的测量系统，能获取较低噪声的姿态测量信息。
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