| 一种网络RTK参考站模糊度快速解算方法 |
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| 引用本文： | 王守华,吴黎荣,尤志奇,付文涛,纪元法.一种网络RTK参考站模糊度快速解算方法[J].电子与信息学报,2021,43(8):2324-2333. |
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| 作者姓名： | 王守华 吴黎荣 尤志奇 付文涛 纪元法 |
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| 作者单位： | 1.桂林电子科技大学信息与通信学院 桂林 5410042.桂林电子科技大学认知无线电与信息处理省部共建教育部重点实验室 桂林 5410043.卫星导航定位与位置服务国家地方联合工程研究中心 桂林 541004 |
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| 基金项目： | 认知无线电与信息处理省部共建教育部重点实验室主任基金(CRKL190105)，广西自然科学基金(2018JJA170154)，广西科技项目(AA17202033)，广西区级研究生教育创新计划项目(YCSW2021180) |
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| 摘 要： | 针对由于存在大气因素的干扰，网络载波相位差分技术(RTK)参考站模糊度解算会受到影响，同时当新卫星升至预先设置的截止高度角以上时，需要较长的初始化收敛时间，该文提出一种网络RTK参考站模糊度快速解算方法。该方法先利用电离层加权策略，辅助基线模糊度的快速解算，再采用扩展卡尔曼滤波(EKF)技术估计浮点模糊度，利用部分模糊度解算方法，最后通过最小二乘模糊度降相关(LAMBDA)算法和比率(RATIO)检测对模糊度进行固定解算。实验结果表明，该方法可以显著提高网络RTK参考站模糊度的固定率和缩短初始化收敛时间。
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| 关 键 词： | 网络RTK 模糊度解算 部分模糊度固定 电离层加权法 |
| 收稿时间： | 2020-10-15 |
A Fast Ambiguity Solution Method for Network RTK Reference Station |
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| Shouhua WANG,Lirong WU,Zhiqi YOU,Wentao FU,Yuanfa JI.A Fast Ambiguity Solution Method for Network RTK Reference Station[J].Journal of Electronics & Information Technology,2021,43(8):2324-2333. |
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| Authors: | Shouhua WANG Lirong WU Zhiqi YOU Wentao FU Yuanfa JI |
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| Institution: | 1.College of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China2.Key Laboratory of Cognitive Radio and Information Processing of Guilin University of Electronic Technology, Ministry of Education, Guilin 541004, China3.National Engineering Research Center for Satellite Navigation, Positioning and Position Service, Guilin 541004, China |
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| Abstract: | Due to the interference of atmospheric factors, the ambiguity resolution of network Real Time kinematic (RTK) reference stations is affected, and when new satellites rise above the preset cutoff height, a longer initialization convergence time is required. A fast ambiguity solution method for Network RTK reference stations is proposed. Firstly, the ionosphere weighting strategy is used to assist the fast resolution of baseline ambiguity. Then, Extended Kalman Filter(EKF)is used to estimate ambiguity floating solution; The partial ambiguity solution method is adopted. Finally, the ambiguities are fixed in combination with Least squares AMBiguity Decorrelation Adjustment(LAMBDA) and RATIO detection. Experiments results show that this method can significantly improve the ambiguity fixation rate of network RTK reference stations and shorten the initialization convergence time. |
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