The study on series analysis method of dynamic measure ment data based on the intellective total station
Hu Bing · Engineering of Surveying and Mapping · 2008
Aiming that the intellective total stations are widely applied in the top science experiments such as FAST,this paper firstly analyzes the character of the total station's dynamic surveying series data,then uses regression analysis to remove the moving trend item,wavelet denoising to weaken the random error,and frequency analysis to get system error information integrated to deal with the TCA2003 experimental data.In the end,the paper gives that the system error frequency is about 0.2～0.4 Hz when the cooperation object's moving angle rate is 128 pps,which is the same as the result of the theory analysis.The analysis method is raluable.