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作 者:吕宏春 卢晓春[1,3,4] 武建锋 LU Hongchun;LU Xiaochun;WU Jianfeng(National Time Service Center,Chinese Academy of Sciences,Xi'an 710600,China;School of Physical Sciences,University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Precision Navigation and Timing Technology,Chinese Academy of Sciences,Xi'an 710600,China;School of Astronomy and Space Science,University of Chinese Academy of Sciences,Beijing 101408,China;School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 101408,China)
机构地区:[1]中国科学院国家授时中心,陕西西安710600 [2]中国科学院大学物理学院,北京100049 [3]中国科学院精密导航定位与定时技术重点实验室,陕西西安710600 [4]中国科学院大学天文与空间学院,北京101408 [5]中国科学院大学电子电气与通信工程学院,北京101408
出 处:《武汉大学学报(信息科学版)》2019年第2期193-199,共7页Geomatics and Information Science of Wuhan University
基 金:中国科学院西部之光项目(2013YB06)~~
摘 要:针对卫星钟差数据中的粗差和钟跳两类异常进行精确探测,提出使用历元单差算法和拟准检定法相结合的两步法策略,第1步,依据钟跳和粗差在历元单差序列中不同表现特点,采用历元单差法探测疑似钟跳点并剔除部分粗差;第2步,对按疑似钟跳分段的数据使用拟准检定法精确探测粗差。通过模拟数据算例阐述钟差异常探测过程并进行性能分析,通过实测数据进行算法有效性验证,结果表明,仅使用历元单差法能有效探测疑似钟跳点和部分粗差,其探测的疑似钟跳点包含了真实钟跳;使用两步法既能有效规避钟跳影响,又能精确探测小粗差,探测能力接近底噪的2倍中误差。To detect clock jump and gross error in data of satellite clock, a two-step method for error detection of satellite clock data is proposed by combining the single difference algorithm of epochs and quasi-accurate cetection method(QUAD). In the first step, a single difference algorithm of epochs is used to detect suspected clock jump and eliminate the gross error points according to the different performance characteristic of clock jump and gross error in the sequence of single difference of epochs;and in the second step, QUAD is used to detect gross error precisely for the data by segment according to the suspected clock jump. The detecting process is set forth and the performance is analyzed by using simulating data, and the algorithm is verified by practical data, both examples show that using only single difference algorithm of epochs can effectively detect suspected clock jump points and partial error, while using the two-step method can effectively avoid clock jump influence, and can accurately detect small gross errors, which is close to two times the background noise’s standard deviation.
分 类 号:P228.4[天文地球—大地测量学与测量工程]
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