Title :
Point position based on cloud model
Author :
Feizhou Zhang ; Peng Cheng ; Lijun Zhao
Author_Institution :
Inst. Of Remote Sensing & Geographic Information System, Peking Univ., Beijing 100871 China
Abstract :
According to the non-linear observation function in GPS point positioning, as well as the mathematical characteristics of combination with randomness and fuzziness of cloud model, with the optimization algorithm and the principle of GPS pseudo range point positioning, from the aspect of non-linearization, the experiment is set to build the GPS point positioning model based on cloud model. With Matlab simulating it, the result shows that the algorithm converges fast while the model result has good stability and reliability.
Keywords :
cloud model; fitness; point positioning;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1283