Point position based on cloud model
Feizhou Zhang, Peng Cheng, Lijun Zhao · 2012
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.