低采样率下北斗三频数据周跳探测与修复

发布时间：2018-02-26 10:40

本文关键词： 周跳无几何-无电离层组合电离层残差伪距相位组合　出处：《电子测量与仪器学报》2017年03期 　论文类型：期刊论文

【摘要】：针对低采样率情况下电离层延时变化量增大,导致常规周跳探测方法无法达到较高精度的问题,提出了一种适用于低采样率的新方法。首先,通过无几何-无电离层载波相位组合和二次历元间差分的电离层残差组合求得周跳发生的历元;然后在该历元处选取两组无电离层伪距相位组合作为周跳第1、第2检测量,一组考虑电离层变化量的无几何组合作为第3检测量,构成3个线性无关的组合,对周跳进行修复;最后通过北斗三频实测数据对算法进行验证。实验表明,该方法对30 s采样间隔下的各种类型的周跳组合仍可以准确修复,且不存在盲点。该方法有效地减弱了采样率减小时,电离层延时变化量增大对周跳探测的影响,可适用于非动态、动态、非差数据的实时修复。
[Abstract]:In order to solve the problem that the variation of ionospheric delay increases at low sampling rate, the conventional cycle slip detection method can not achieve high accuracy, a new method suitable for low sampling rate is proposed. Through the combination of the non-geometry ionospheric carrier phase and the second epoch difference between the ionospheric residuals, the epoch of the cycle slip is obtained, and then two sets of non-ionospheric pseudo-range phase combinations are selected at the epoch as the first and second measurements of the cycle slip. A group of non-geometric combinations considering ionospheric variation is used as the third measurement to form three linearly independent combinations to repair the cycle slip. Finally, the algorithm is verified by Beidou three-frequency data. This method can be used to correct all kinds of cycle slip combinations at sampling intervals of 30 s, and there are no blind spots. This method can effectively reduce the influence of decreasing sampling rate and increasing the variation of ionospheric delay on cycle slip detection. It can be used to repair non-dynamic, dynamic and non-differential data in real time.
【作者单位】：合肥工业大学计算机与信息学院;
【基金】：合肥市北斗卫星导航重大应用示范(发改办高技(2014)2564号)资助项目
【分类号】：TN967.1

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