Verification and detection of ZY-3 attitude frequency using an approximate sampling theorem

Attitude fluctuation of satellite platform is a crucial error source that influences the performance of the satellite surveying and mapping and extensively existed in all spacecrafts. Verification and detection of fluctuation frequency of the high spatial resolution remote sensing satellite plays a key role in farther optimizing the geo-location accuracy when the geometric accuracy of satellite reaches a fairly high precision. In this paper, an approximate sampling theorem is designed to verify and detect the attitude fluctuation frequency of satellite, and this novel method is based on Nyquist- Shannon sampling theorem, which applies ingeniously attitude acquisition time interval. The sampling interval of this approach will be appropriately altered by proposed sampling model while the satellite attitude acquisition frequency is not proportional to the fluctuation frequency. A simulative triangular wave and a strip attitude data of ZY-3 obtained while satellite was early on-orbit are experimented, and these results demonstrate the following findings: 1)the method proposed is effective and can filter irrelevant wave partially; 2)the fluctuation components obtained contain a distinct frequency of around 0.67Hz meets the inherent frequency of ZY-3 detected by other methods.