基于粒子滤波的跨断层数据分析  

Analysis of Cross-Fault Deformation Using Particle Filter

作　　者：郑洪艳[1] 田晓[1] 张超[1] 王世进[1] 许明元[1] ZHENG Hongyan TIAN Xiao ZHANG Chao WANG Shijin XUMingyuan(First Monitoring and Application Center, CEA, 7 Naihuo Road, Tianjin 300180, China)

机构地区：[1]中国地震局第一监测中心,天津市耐火路7号300180

出　　处：《大地测量与地球动力学》2017年第11期1136-1140,1155,共6页Journal of Geodesy and Geodynamics

基　　金：中国地震局"三结合"课题(163302;CEA-JC/3JH-163703)~~

摘　　要：以大同台和唐山台为例,对跨断层观测数据与降水量、气温等辅助观测数据进行粒子滤波处理,并与卡尔曼滤波结果进行比较。示例及统计结果表明,该算法在跨断层数据处理中是可行性的。We process cross-fault data with auxiliary observations such as temperature,precipitation and so on,as observed at Datong and Tangshan seismic stations using particle filter based on residual resampling.Comparing the results with Kalman filters,the feasibility of using particle filter to analyze cross-fault deformation is demonstrated.

关 键 词：粒子滤波 卡尔曼滤波 跨断层定点台站 辅助观测 

分 类 号：P315[天文地球—地震学]