有界不确定性平差模型的一种迭代算法

本文将不确定性平差模型与参数的有界不确定性相结合,建立有界不确定性平差模型,并从等式约束出发,利用无限权和零权的思想,将不确定性平差算法与不等式约束中的罚函数相结合,提出有界不确定性平差迭代算法,并通过算例验证其可行性和有效性。

An Iterative Algorithm for Adjustment Model with Uncertainty and Inequality Constraints

In this paper, an adjustment model with uncertainty and inequality constraints is established by combining the bounded uncertainty of parameters with the adjustment model with uncertainty. Then, the corresponding iterative algorithm with uncertainty and inequality constraints is put forward, starting from the equality constraints, using the idea of infinite weight and zero weight, and combining the uncertainty adjustment algorithm with the penalty function in the inequality constraints. Finally, an example further verifies the feasibility and effectiveness of the algorithm.