基于神经网络的对流层延迟改正融合模型研究文献综述

 2022-10-31 11:10

文献综述(或调研报告):

基于神经网络的对流层延迟改正融合模型研究

邓豪

摘要

GPS信号在穿过对流层的时候路径会发生弯曲,从而使测量距离产生偏差,对GPS定位精度有着致命的影响。中外学者对此做了大量研究,并建立了不同方法削弱对流层延迟误差。作者通过文献查阅,对前人得到的成果进行分析总结,以此辅助毕业设计的研究。

关键词:神经网络、对流层、天顶延迟

Abstract

The GPS signal will be bent when passing through the troposphere, which will cause the deviation of measurement of the distance, and give a fatal degeneration of the accuracy of the GPS positioning. Scholars both abroad and at home have done a lot of research to establish various methods to weaken the impact of the tropospheric delay error. Through the literature review, the author analyzes and summarizes the achievements of the predecessors, so as to assist the research of graduation design.

Keywords: neural network, troposphere, Zenith Delay

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