一种融合抗差的共线秩亏平差算法

An Algorithm Fusing Robust and Collinear Rank-defect Adjustment

传统卫星测高数据处理中共线平差的精度极大影响最终解算结果,针对经初步处理后卫星测高数据仍可能存在粗差的问题,提出一种融合抗差的共线秩亏平差算法。该算法结合传统共线平差及抗差估计的优点,保留了秩亏自由网平差不需要基准控制点的优良性质,并有效地剔除秩亏自由网中存在的粗差,实现更高精度的解算结果。实验表明,相比较传统共线秩亏平差算法而言,提出的算法解算结果精度更高。

The accuracy of collinear adjustment in traditional satellite altimeter data processing affects the final solution accuracy. Aiming at the problem that gross error may still exist after preliminary processing of the satellite altimetry data, this paper puts forward an algorithm fusing robust and collinear rank-defect adjustment. The proposed algorithm combines advantages of traditional collinear adjustment and robust estimation,retains the excellent properties that rank-defect free network adjustment doesn^t need control points, effectively eliminates gross error existing in the rank-defect free network, and finally achieves more accurate calculation results. Experimental result shows that the calculation precision of the proposed algorithm in this paper is higher when compared with the traditional collinear rank-defect adjustment algorithm.