利用北斗三频非差数据进行周跳实时探测与修复

Real-time Cycle Slip Detection in Triple-frequency BDS

  • 摘要: 结合我国北斗导航卫星系统的特点,通过对三频数据进行线性最优组合来有效探测和修复各类周跳。应用了5种线性几何无关组合并基于三步法进行周跳探测。对于探测到的不同周跳,通过特定的三频载波相位线性组合进行有效的分辨和修复,最后基于北斗三频实测数据,针对不同电离层延迟变化水平,分别就1 s、15 s、30 s不同采样间隔下的周跳探测和修复能力进行了验证,取得了较优的结果。

     

    Abstract: In this paper, we got the optimal linear combinations which can effectively detect and repair all types of cycle slips considering the characteristics of BeiDou Navigation Satellite System(BDS). In the detection process, five geometry-free linear combinations were applied based on a three-step cycle slip detection process. For different sorts of cycle slips, specific frequency carrier phase linear combinations are used for repairs. Finally, based on Beidou triple-frequency data with different levels of ionospheric delay variation under different sampling intervals of 1 s, 15 s, 30 s respectively, the ability of cycle slip detection and repairs were verified. The results were optimum.

     

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