【摘要】 由于重力场恢复与气候实验(gravity recovery and climate experiment,GRACE)时变重力场的高阶项误差导致反演结果中出现明显的条带误差,必须对其进行去相关处理。传统去相关算法采用滑动窗多项式拟合方法,但其存在着位于两端的数据无法处理的缺点,采用反向延拓技术对传统算法进行改进,提高数据的处理率和精确性。最后将改进前后的去相关处理结果进行比较,验证算法的有效性和可靠性。更多还原

【Abstract】 Since the high-order error has exist in gravity recovery and climate experiment( GRACE) time-variable field,it lead to obvious strip error in the inversion results. So this error must be dealt with by using correlation algorithm. The traditional correlation algorithm adopts sliding polynomial fitting method,while its disadvantage is that the portion data isn’t processed which located at both ends. The reverse continuation technology is used to improve the traditional algorithm to improve the processing rate and accuracy. Finally,the results of the de-correlation algorithm before and after the improvement are compared to verify the effectiveness and reliability of the proposed algorithm.更多还原