摘要
在全球变暖的影响下,海平面的平均高度呈现上升趋势。如何准确、实时地监测海平面高度的变化情况,已成为当前研究的热点。随着GNSS应用的扩展,GNSS多路径反射测量(GNSS Multipath Reflectometry,GNSS-MR)技术已成为监测海平面高度变化的重要手段,针对该技术存在的信号中掺杂噪声的问题,提出了利用奇异谱分析(Singular Spectrum Analysis,SSA)对原始信噪比数据进行分解、重构,筛选出不含噪声的有效残差序列,实现去噪处理,再进行海平面高度反演。以法国西海岸的布雷斯特港BRST观测站的GPS数据进行实验,结果表明,SSA法相比二次多项式拟合方法,均方根误差(Root Mean Square Error,RMSE)降低了6.5%,相关系数为0.97,而在连续暴雨天气、外界干扰较严重的环境下,RMSE降低了14%,相关系数为0.98,验证了SSA法应用于海平面测高的有效性。
Under the influence of global warming,the average height of sea level shows an upward trend.The method to accurately monitor changes in sea level in real-time has become a hot spot of current research.With the expansion of GNSS applications,GNSS Multipath Reflectometry(GNSS-MR)technology has become an important means of monitoring sea level changes.For the problem of noise doping in the signal in this technology,Singular Spectrum Analysis(SSA)is use to decompose and reconstruct the original signalto-noise ratio data,filter out the effective residual sequence without noise.The denoising processing is achieved,and then sea level inversion is performed.The experiment is performed with GPS data from the BRST observatory in Port Brest on the west coast of France.The results show that compared with the quadratic polynomial fitting method,the Root Mean Square Error(RMSE)of the SSA method is decreased by 6.5%,the correlation coefficient is 0.97.And in continuous rainy weather,in environments with severe external disturbances,the RMSE is decreased by 14%,the correlation coefficient is 0.98,which verifies the effectiveness of the SSA method applied to sea level altimetry.
作者
刘睿国
刘立龙
吴晗
薛张芳
吴昊舰
张志
LIU Ruiguo;LIU Lilong;WU Han;XUE Zhangfang;WU Haojian;ZHANG Zhi(School of Surveying and Mapping Geographic Information,Guilin University of Technology,Guilin 541006,China;Guangxi Key Laboratory of Spatial Information and Mapping,Guilin 541006,China)
出处
《无线电工程》
北大核心
2022年第11期1994-1999,共6页
Radio Engineering
基金
国家自然科学基金(42064002,41664002)
广西自然科学基金(2018GXNSFAA294045)。
