[1]王梦婷,聂建亮,郭春喜,等.利用成长模型的自适应垂直坐标序列分析[J].西安建筑科技大学学报(自然科学版),2018,50(05):761-0765.[doi:10.15986/j.1006-7930.2018.05.022]
 WANG Mengting NIE Jianliang,GUO chunxi,TIAN Jie,et al.Adaptive analysis of vertical coordinate series based on growth model[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2018,50(05):761-0765.[doi:10.15986/j.1006-7930.2018.05.022]
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利用成长模型的自适应垂直坐标序列分析()
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西安建筑科技大学学报(自然科学版)[ISSN:1006-7930/CN:61-1295/TU]

卷:
50
期数:
2018年05期
页码:
761-0765
栏目:
出版日期:
2018-10-28

文章信息/Info

Title:
Adaptive analysis of vertical coordinate series based on growth model
文章编号:
1006-7930(2018)05-0761-05
作者:
王梦婷1 聂建亮 2 郭春喜2 田 婕2 王 斌2
西安建筑科技大学 理学院 陕西 西安 710055 2. 国家测绘地理信息局 大地测量数据处理中心 陕西 西安 710054 )
Author(s):
WANG Mengting1 NIE Jianliang2 GUO chunxi 2 TIAN Jie2 W ANG Bin 2
(1. School of science ,Xian University of Architecture and Technology,Xian 710055, China 2. Geodetic Data Processing Centre, National Administration of Surveying, Mapping and Geoinformation of China, Xian, 710054, China)
关键词:
Gompertz模型Logistic模型Weibull模型自适应滤波
Keywords:
gompertz model logistic model weibull model adaptive filtering
分类号:
TU478
DOI:
10.15986/j.1006-7930.2018.05.022
文献标志码:
A
摘要:
针对监测点的垂直运动不具有均匀性,采用Weibull等地面沉降成长模型为运动模型,提高动力学模型的可靠性;利用预测残差构造自适应因子,调整动力学模型与观测方程的对滤波解贡献。以沉降区域实测点垂向坐标序列为例,该方法能够提高状态方程预报值与滤波解的可靠性。
Abstract:
The growth models as Weibull model are used as the dynamic equation to improve the accuracy for the character of vertical movement for monitored points has no uniformity. The adaptive factor is obtained with predicted residuals to adjust the contribution between the dynamic and observation equation. Finally, an actual data of monitored points is given to test the new adaptive filtering. It is shown that the new algorithm can improve the accuracy of predicted state, and further enhance the reliability of the filtering.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2017-08-30 修改稿日期:2018-08-31基金项目:国家自然科学基金项目(41574003、41474015、41604001)、国家测绘地理信息局2015年公益性行业科研专项(201512004)、科技基础性工作专项重点项目(2015FY210400第一作者:王梦婷(1977-),女,讲师,硕士,主要研究偏微分方程数值解.E-mail: wangmengtinglh@163.com1
更新日期/Last Update: 2018-11-22