Ridge estimation iterative solution of ill-posed mixed additive and multiplicative random error model with equality constraints

• Published in: Geodesy and Geodynamics Vol. 12; no. 5; pp. 336 - 346
• Main Authors: Wang, Leyang, Chen, Tao
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2021; KeAi Communications Co., Ltd
• Subjects: Equality constraints; Ill-posed problem; Mixed additive and multiplicative random error model; Ridge estimation method; U-curve method; Weighted least squares; U-curve method; Ill-posed problem; Mixed additive and multiplicative random error model; Equality constraints; Ridge estimation method; Weighted least squares
• ISSN: 1674-9847
• DOI: 10.1016/j.geog.2021.07.003

The reasonable prior information between the parameters in the adjustment processing can significantly improve the precision of the parameter solution. Based on the principle of equality constraints, we establish the mixed additive and multiplicative random error model with equality constraints and derive the weighted least squares iterative solution of the model. In addition, aiming at the ill-posed problem of the coefficient matrix, we also propose the ridge estimation iterative solution of ill-posed mixed additive and multiplicative random error model with equality constraints based on the principle of ridge estimation method and derive the U-curve method to determine the ridge parameter. The experimental results show that the weighted least squares iterative solution can obtain more reasonable parameter estimation and precision information than existing solutions, verifying the feasibility of applying the equality constraints to the mixed additive and multiplicative random error model. Furthermore, the ridge estimation iterative solution can obtain more accurate parameter estimation and precision information than the weighted least squares iterative solution.