DocumentCode :
1870581
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
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
1572
Lastpage :
1575
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;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1283
Filename :
6492890
Link To Document :
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