选权迭代法求解加权秩亏网平差权矩阵

Solving the weight matrix in weighted rank-deficient adjustment by selecting weight iteration

加权秩亏网平差是自由网平差的统一解算形式,但其权矩阵的确定较为困难,且目前尚无被大家普遍承认的求解理论与方法。本文利用抗差估计中的选权迭代法,模拟大量试验,统计加权秩亏网的平差效果。对自由网平差的应用扩展有一定的参考价值。

Weighted rank-deficit network adjustment is a unified expression for rank-deficient adjustment,but the weight matrix is difficult to determine.Until now there is not a well-known theory and method to solve the problem.In this paper,utilizing the weighted iteration in the robust estimation,simulating numerous experiments and making the statistical results from weighted rank-deficient network adjustment.It has certain reference value for the application expansion of free network adjustment.