BDS/GPS单历元阻尼LAMBDA算法及其在边坡变形监测中的应用效果分析  

BDS/GPS Single Epoch Damped LAMBDA Algorithm and Its Application Analysis in Slope Deformation Monitoring

作　　者：王彬彬[1,2] 刘根友 李正媛[3] 李甜[4] WANG Binbin LIUGenyou LI Zhengyuan LI Tian(State Key Laboratory of Geodesy and Earth＇s Dynamics, 340 Xudong Street, Wuhan 430077, China University of Chinese Academy of Sciences, A19 Yuquan Road, BeijJng 100049, China China Earthquake Networks Center Nanheng Street, Sanlihe, Beijing 100045, China Key Laboratory of Earthquake Geodesy, Institute of Seismology, CEA, 40 Hongshance Road,Wuhan 430073, China)

机构地区：[1]大地测量与地球动力学国家重点实验室,武汉市徐东大街340号430077 [2]中国科学院大学,北京市玉泉路甲19号100049 [3]中国地震台网中心,北京市三里河南横街5号100045 [4]中国地震局地震研究所(地震大地测量重点实验室),武汉市洪山侧路40号430071

出　　处：《大地测量与地球动力学》2017年第8期782-786,共5页Journal of Geodesy and Geodynamics

基　　金：国家重点研发计划(2016YFB0501900);国家973计划(2013CB733200);国家自然科学基金(41321063)~~

摘　　要：论述了BDS/GPS双系统组合下的单频单历元阻尼LAMBDA算法原理,并基于该算法实现一种实时远程变形监测系统。以理县某边坡变形监测应用为例,比较了GPS、BDS及其组合系统下的观测条件和阻尼LAMBDA算法定位效果:BDS的观测卫星数多于GPS,PDOP值相较于GPS也更加稳定;BDS单历元解标准差在N、E、U方向上分别为0.40cm、0.31cm、1.00cm,优于GPS的0.61cm、0.40cm、1.74cm。长期实验结果表明,在我国南部边坡监测中,BDS相比GPS具有一定优势。理县边坡23个月内位移量显著,3个监测站平均位移在N、E、U方向上分别达到8.70cm、43.63cm、18.03cm。强降雨是引起土质山体滑坡的主要因素,使用累积降雨量和累积位移量建立线型回归模型,线性相关系数在0.98以上。在边坡监测中,可将实时的位移数据和降雨数据作为滑坡预警的重要依据。This paper first presents a BDS/GPS damped LAMBDA algorithm, then introduces a real time remote deformation monitoring system based on this algorithm. We take the slope deformation monitoring system of Lixian slope for example： BDS has more visible satellites and more stable PDOP values than GPS. Besides, the relative positioning precision of BDS are 0.40 cm, 0.31 cm, 1.00 cm in north, east and up respectively, which are also better than the results of GPS. Long-term related analysis indicates that BDS is superior to GPS in slope deformation monitoring in southern China. During 23 months, the average displacements of the three stations in Lixian slope reach 8. 70 cm, 43.63 cm, 18.03 cm in north, east and up respectively. As rainfall is a main factor for landslide in soil slope, we build a linear regression model using cumulative rainfall data and cumulative displacement data of which correlation coefficient is above placement data and rainfall data as important 0.98. Accordingly, one should regard the real-time dis evidence in landslide early-warning.

关 键 词：阻尼LAMBDA算法 变形监测 BDS优势 边坡长期位移 滑坡预警 

分 类 号：P228[天文地球—大地测量学与测量工程]