摘要
提出了一种基于拟准检定的实时单站GPS载波相位观测数据历元间差分提取同震速度的改进算法.改进算法将实时高频历元差分数据质量控制作为同震速度准确提取的重要保障,对原始高频数据中的小周跳和粗差十分敏感,且能够有效地估计小周跳和粗差,从而抵抗它们对同震速度估计的不良影响;另外,改进算法还简化了数据处理流程,也使得利用广播星历单站提取同震速度、监测地震形变的算法更为稳健.选取了2011年3月11日日本大地震距离震中140 km的MIZU站1 Hz高频GPS观测数据和广播星历来测试改进算法.结果表明:拟准检定法具有更好的小周跳与粗差自动定位和估计性能,改进算法利用广播星历求得的同震速度与事后动态精密单点定位结果表现出很好的一致性.
Based on the ＂quasi-accurate detection of gross errors＂ （QUAD） method, an improved algorithm to extract the coseismic velocity with the high-rate epoch-differential carrier phase observations of a stand-alone GPS receiver in real-time is proposed. The improved algorithm attaches great importance to the quality control of the real-time high-rate epoch-differential data in precisely extracting coseismic velocity. It is sensitive to small cycle slips and gross errors and can even estimate them along with coseismic velocity effectively, thus resisting the negative influence of gross errors and cycle slips in parameter estimation. In addition, the improved algorithm simplifies the data processing procedure and makes it more robust. The 1 Hz GPS dataof MIZU station （140 km from the epicenter of the Japan earthquake on Mar 11th, 2011） and broadcast ephemeris are chosen to validate the improved algorithm. The results show that QUAD has a better performance in the automatic detection and estimation of small cycle slips and gross errors. Additionally, the coseismic velocity extracted by the improved algorithm with broadcast ephemeris also presents good consistency with the post kinematic precise point positioning results.
出处
《地球物理学报》
SCIE
EI
CAS
CSCD
北大核心
2014年第8期2507-2517,共11页
Chinese Journal of Geophysics
基金
国家973项目(2012CB825604)
国家863项目(2012AA121803)
国家自然科学基金(41304034
41231064
41174015
41104012
41021003)资助
关键词
同震速度
高频GPS数据
实时单站
GPS历元间差分
周跳与粗差
拟准检定
Coseismic velocity
High-rate GPS data
Real-time epoch-difference with a stand-aloneGPS receiver
Cycle slips and gross errors
Quasi-accurate detection of gross errors（QUAD）
