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Point position based on cloud model

机译:基于云模型的点位置

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摘要

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.
机译:根据非线性观测功能在GPS点定位中的作用,以及云模型随机性和模糊性相结合的数学特征,从非线性化的角度,结合优化算法和GPS伪距点定位原理,通过实验建立了基于云模型的GPS点定位模型。通过Matlab仿真,结果表明该算法收敛速度快,模型结果具有良好的稳定性和可靠性。

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