基于最优双频载波相位组合的RTK网络周跳检测新算法

Donguk Kim, Junesol Song, Sunkyoung Yu, C. Kee
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摘要

多年来,人们研究了许多治疗双频周期滑移的策略;然而,使用Melbourne-Wubbena (MW)组合的传统方法容易受到伪橙多径效应的影响。本文针对网络实时运动(RTK)系统,提出了一种新的仅利用载波相位平稳观测的双频周跳检测算法,该算法可为用户提供高精度的校正。本文采用两种独立互补的载波相位组合,即电离层负(IN)和电离层正(IP)组合来避免不敏感对。它们可以成功地检测到所有的周期滑动,因为两个L1/L2组合将周期滑动与相反的符号组合在一起,以唯一地检测不敏感对。从理论分析上验证了这些监测值在严重电离层风暴下的实际误差分布完全符合正态高斯分布。因此,我们证明了所提出的方法确保了高完整性性能,漏检概率为7.5 × 10?在期望的误报概率为10的情况下?5 . 此外,与无电离层、宽车道和窄车道等线性组合相比,In和IP组合表现出最佳的检测性能。通过使用在严重电离层风暴下收集的实际数据进行算法验证测试,我们确认所有人为插入的周期滑动都被成功检测到。综上所述,该方法可以有效地处理网络RTK系统的双频周跳。
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A New Cycle-Slip Detection Algorithm for Network RTK Using Optimal Dual-Frequency Carrier-Phase Combinations
Many strategies for treating dual-frequency cycle slip have been studied over the years; however, the conventional method using the Melbourne-Wubbena (MW) combination is vulnerable to pseudorange multipath effects. In this paper, we propose a new detection algorithm of dual-frequency cycle slip using only carrier-phase stationary observations for the network real-time kinematic (RTK) system which generates high-precision corrections for user. Two independent and complementary carrierphase combinations, called the ionospheric negative (IN) and ionospheric positive (IP) combinations in this paper, are employed for avoiding insensitive pairs. They can successfully detect all of the cycle slips since two L1/L2 combinations combine cycle slips with opposite signs for uniquely detecting insensitive pairs. We verified that the actual error distributions under severe ionospheric storm of these monitoring values can be sufficiently bounded by the normal Gaussian distribution from a theoretical analysis. Consequently, we demonstrated that the proposed method ensures high-integrity performance with a probability of missed detection of 7.5 × 10?9 .under a desired false-alarm probability of 10?5 . In addition, the IN and IP combination shows the best detection performance than the other linear combinations such as ionosphere-free, wide-lane, and narrow-lane. Through an algorithm verification test using actual data collected under a severe ionospheric storm, we confirmed that all artificially inserted cycle slips are successfully detected. In conclusion, the proposed method is confirmed to be effective for handling dual-frequency cycle slips for network RTK system.
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