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