Abstract

Adjustment base on least square estimation is optimal when measurements only contain random tolerances, but in fact, the measurementscontain outliers. Currently, one of the most effective meth-ods of handling raw errors is Robust estimation. An important feature of the robust estimation method is the result of each robust estimation method depending on its weighting function selection. The contents of the article refer to the application of estimation method in adjustment and analysis for Network space combain terrain and Global Positioning System.