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Time Synchronizing Method Based on Pseudo-Range Differential Correction for Spatially Dispersed Nodes

As an indispensable technique for collaboration between spatially dispersed nodes, time-frequency synchronization method of high precision is a crucial requirement for many use cases. Conventional synchronization methods maintain high accuracy between distributed nodes, while they may not suitable f...

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Main Authors:	Xiao-feng, Ouyang, Fang-ling, Zeng, Da-qian, Lv, Hai-bing, Wang
Format:	Conference Proceeding
Language:	English
Subjects:	BeiDou Clocks Covariance matrices dispersed nodes kalman filter Measurement uncertainty Noise measurement Receivers Synchronization time synchronization
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creator	Xiao-feng, Ouyang Fang-ling, Zeng Da-qian, Lv Hai-bing, Wang
description	As an indispensable technique for collaboration between spatially dispersed nodes, time-frequency synchronization method of high precision is a crucial requirement for many use cases. Conventional synchronization methods maintain high accuracy between distributed nodes, while they may not suitable for the spatially non-contact nodes. A method of pseudo-range differential integrated time synchronization method of high precision is proposed. For spatially dispersed nodes, the system scheme and ultimate composition are introduced. A two-step time synchronizing algorithm is derived from the theoretical module. Considering the error factors including group delays, channel noise, multipath, positioning error, an error budget is introduced and applied to the simulation. The results show that, comparing to the BDS standalone timing, the proposed synchronization method can be used to improve the synchronization accuracy to nanosecond level.
doi_str_mv	10.1109/ICCT46805.2019.8947257
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source	IEEE Xplore All Conference Series
subjects	BeiDou Clocks Covariance matrices dispersed nodes kalman filter Measurement uncertainty Noise measurement Receivers Synchronization time synchronization
title	Time Synchronizing Method Based on Pseudo-Range Differential Correction for Spatially Dispersed Nodes
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