Application of Parameters with Ellipsoidal Constraints in Adjustment Algorithm
Abstract This paper is aimed at parameters in the actual engineering application with territorial constraints, and proposes a new adjustment algorithm with ellipsoidal constraints, whose concrete model and solving steps are given. Results of simulated experimental data and morbid trilateration net data, show that the least-squares is not suitable for processing morbid problems. Compared with the results of ridge estimation, singular value decomposition (SVD) and inequality constraints, we show that the algorithm with ellipsoidal constraints of parameter has higher precision.
Key words :
prior information
ill-posed problems
ellipsoidal constraints
ridge estimation
singular value decomposition
Cite this article:
XIAO Zhaobing,SONG Yingchun,XIE Xuemei. Application of Parameters with Ellipsoidal Constraints in Adjustment Algorithm[J]. jgg, 2018, 38(9): 964-967.
XIAO Zhaobing,SONG Yingchun,XIE Xuemei. Application of Parameters with Ellipsoidal Constraints in Adjustment Algorithm[J]. jgg, 2018, 38(9): 964-967.
URL:
http://www.jgg09.com/EN/ OR http://www.jgg09.com/EN/Y2018/V38/I9/964
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