张恒璟,崔东东,程鹏飞,文汉江,耿长良

• 1:辽宁工程技术大学测绘与地理科学学院
• 2:中国测绘科学研究院
• 3:北京城建勘测设计研究院有限责任公司

摘要(Abstract)：

针对未考虑噪声情况下利用非线性周期拟合模型得到的高程预测值与实际值存在偏差较大的问题,该文提出一种顾及噪声项的CORS站高程建模预测方法。对CORS站高程原始数据进行CEEMD分解,利用自相关函数绝对值均值变点理论判定噪声与信号分界点;对噪声序列建立ARMA模型、信号序列建立非线性周期拟合模型;将非线性周期拟合模型和ARMA模型组合进行CORS站高程数据的预测。实验结果表明:顾及噪声项的非线性速度场预测方法高程预测精度优于未考虑噪声项的非线性预测方法。该方法为CORS站高程数据的建模预测提供了一种新的途径。

关键词(KeyWords)： CORS站高程时间序列;CEEMD分解;非线性速度场;高程预测

Abstract:

Keywords:

基金项目(Foundation): 中国测绘科学研究院基本科研业务费资助项目(AR1918);; 高分对地观测系统重大专项(42-Y20A09-9001-17/18);; 2017年辽宁省教育厅青年项目(LJ2017QL008)

作者(Author): 张恒璟,崔东东,程鹏飞,文汉江,耿长良

DOI: 10.16251/j.cnki.1009-2307.2020.11.003

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