雖然空載重力測量技術已被認為是全面可行之技術，但來自於GPS所產生之誤差限制了空載重力測量之精度及其可應用之範圍。由GPS決定飛機之位置軌跡，藉由數值微分得到其速度、加速度，因此，其精度必須加以探討，否則重力儀即使非常準確，也無法獲得精確之重力值成果。

　　本文單純由GPS之角度出發，利用空載重力測量中航帶時段重疊區之設計，探討由GPS所獲得飛機動態位置、速度及加速度之內在精度。飛機動態位置是利用Bernese 5.0 GPS解算軟體所計算得到，由台灣地區空載重力測量工作之GPS資料計算成果顯示，其整體內在平面定位精度約為22 cm，高程為30 cm左右。飛機速度及加速度則是以低階Taylor級數近似微分器獲得，由於獲得之訊號含有高頻部分，因此必須使用低通濾波器來降低雜訊，如高斯濾波，經過90秒濾波後，飛機u方向加速度平均內在精度可達1 mgal內，且比較不同微分器所得之u方向加速度，發現不同微分器在經過濾波處理後對成果之影響甚小，關鍵在於濾波處理。

　　Although airborne gravimetry is now considered a fully operational technique, errors due to GPS continue to limit both its accuracy and the range of applications in which it can be used. The aircraft positions are determined by GPS, its velocities and accelerations are obtained by numerical differentiations of its trajectories. Therefore, it is necessary to discuss the precisions of the aircraft positions, velocities, and accelerations, otherwise, we can’t obtain accurate gravity results even if the accuracy of gravimetry is high.

　　This study simply puts emphasis on GPS, and analyzes the internal accuracy of the kinematic aircraft positions, velocities and accelerations in airborne gravimetry using the time overlap of the airborne gravimetry flight strips. The kinematic aircraft positions are computed using Bernese 5.0 GPS software, test results show that the overall internal horizontal positioning accuracy is within 22 cm, and within 30 cm for the height component. Low-order Taylor series approximations are used for performing numerical differentiations to obtain the aircraft velocities and accelerations, it is necessary to apply a low-pass filter, such as Gaussian filter, in order to reduce the noise due to higher frequency signals. After 90 seconds filtering, test results show that the mean internal accuracy of the upward aircraft accelerations is within 1 mgal, and comparisons between the aircraft upward accelerations derived from different differentiators show that differentiators have few influence on the results after filtering, the key is the process of filtering.

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