智能全站仪动态测量数据序列分析方法研究  

The study on series analysis method of dynamic measure ment data based on the intellective total station

作　　者：潘华志[1] 鲁新应[1] 胡兵[1] 

机构地区：[1]75719部队

出　　处：《测绘工程》2008年第4期28-30,共3页Engineering of Surveying and Mapping

摘　　要：针对智能全站仪在诸如FAST等尖端科学实验中的广泛运用，对全站仪动态测量数据序列特征进行分析的基础上，提出综合运用回归分析去除运动趋势项、小波降噪减弱偶然误差项和频谱分析提取系统误差项等方法对动态测量数据进行处理，从而可以获得仪器进动跟踪带来的系统误差频率，在合作目标运动角速度为128pps时系统进动误差频率为0．2～0．4Hz，并与理论分析结果相比较，比较结果说明该方法实用有效，有一定应用价值。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.

关 键 词：动态测量 回归分析 小波降噪 频谱分析 ATR 

分 类 号：P204[天文地球—测绘科学与技术]