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Obtaining height anomaly by using mobile least square collocation model

LI Chong②,ZHANG Qin,WEI Yu-ming,LIU Zhan-ke(School of Geological Engineering and Surveying Engineering Chang’an University,Xi’an 710054;②National Quality Supervision and Testing Center of Surveying and Mapping Product Chengdu 610081)  
The model error exists inevitably in the general model of large-scale height anomaly fitting.Considering the indeterminacy of the errors,we may resolve the problem by taking the errors for signal with the model of least square collocation.The design of covariance function is a very intractable problem.Because of this, this paper has proposed a new method which called moving least square collocation.The method designs different model due to different unknown points.By this way, we could obtain the covariance function by computing the weight.We have used this method to resolve some problems based on the GPS level data from a large measured area, and gained satisfying result.
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