Patent
Short-term combined clock correction forecasting method under condition of uncertain forecasting duration
Liu Qiang,Chen Xihong,Ren Weihua,Qian Gu,Li Xiaohua,Liu Zan,Shuang Zhang +6 more
- 30 Aug 2019
TL;DR: In this article, a short-term combined clock correction forecasting method under a condition of uncertain forecasting duration is presented, and the method comprises the following steps that: obtaining an original clock correction sequence, and carrying out differential processing; according to the original clock corrections sequence, calculating a clock correction data quality factor, and determining the forecasting duration; adopting at least two types of clock corrections forecasting methods to carry out forecasting learning; calculating the weight value of each clock correction forecast method; calculating a combined clock corrections forecast value; judging whether time synchronization is established again or not at any time in
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Abstract: The invention discloses a short-term combined clock correction forecasting method under a condition of uncertain forecasting duration. The method comprises the following steps that: obtaining an original clock correction sequence, and carrying out differential processing; according to the original clock correction sequence, calculating a clock correction data quality factor, and determining the forecasting duration; adopting at least two types of clock correction forecasting methods to carry out forecasting learning; calculating the weight value of each clock correction forecasting method; according to the forecasting learning results of various clock correction forecasting methods and the corresponding weight value, calculating a combined clock correction forecasting value; judging whether time synchronization is established again or not at any time in a forecasting process; if the time synchronization is established, stopping forecasting immediately, and otherwise, continuously forecasting until the forecasting duration is achieved; if the time synchronization is still not established after the forecasting duration is achieved, prolonging the duration of the original clock correction, estimating the forecasting duration again, and repeating the above steps until the step of clock correction is established again; and after the clock correction forecasting is finished, carryingout differential inverse operation on the clock correction forecasting result, and obtaining a final clock correction forecasting sequence. The method aims at a situation that the forecasting duration is uncertain, and forecasting robustness is good.
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A Grey Model Based on First Differences in the Application of Satellite Clock Bias Prediction
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Patent
Method for forecasting receiver clock error
Teng Yunlong,Zheng Zhi,Hu Shiming +2 more
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6
Patent
Real-time clock difference determining and forecasting method and system for navigation satellite and low orbit satellite
Mu Xucheng
- 14 Dec 2018
TL;DR: In this article, a real-time clock difference determining and forecasting method and system for a navigation satellite and a low orbit satellite is presented. But the system consists of a clock difference module, a navigation satellites clock difference forecasting module, low orbit Satellite clock difference estimator module, and low-orbit satellite clock difference estimation module.
4
Patent
Integrated clock error forecasting method
Qiang Liu,Chen Xihong,Jizhe Sun,Yongshun Zhang,Liu Zan,Li Chenglong +5 more
- 10 Aug 2018
TL;DR: In this article, the authors proposed an integrated clock error forecasting method, which comprises the steps of performing primary differential processing on an original clock error sequence to obtain a clock error difference sequence; performing learning forecasting by adopting a quadratic polynomial model according to learning segment data in the clock error different sequence; carrying out coarse forecasting on a fitting segment by adopting the quadratically polynomials model according according to a learning result, and calculating the difference between a clock errors difference value of the fitting segment sequence sequence and the obtained coarse forecasting value of fitting segment to obtain
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