期刊检索

  • 2024年第56卷
  • 2023年第55卷
  • 2022年第54卷
  • 2021年第53卷
  • 2020年第52卷
  • 2019年第51卷
  • 2018年第50卷
  • 2017年第49卷
  • 2016年第48卷
  • 2015年第47卷
  • 2014年第46卷
  • 2013年第45卷
  • 2012年第44卷
  • 2011年第43卷
  • 2010年第42卷
  • 第1期
  • 第2期

主管单位 中华人民共和国
工业和信息化部
主办单位 哈尔滨工业大学 主编 李隆球 国际刊号ISSN 0367-6234 国内刊号CN 23-1235/T

期刊网站二维码
微信公众号二维码
引用本文:李慧,赵琳,李亮,丁继成.一种双频非组合实时精密定位方法[J].哈尔滨工业大学学报,2017,49(11):122.DOI:10.11918/j.issn.0367-6234.201703023
LI Hui,ZHAO Lin,LI Liang,DING Jicheng.Real-time precise positioning using dual-frequency uncombined data[J].Journal of Harbin Institute of Technology,2017,49(11):122.DOI:10.11918/j.issn.0367-6234.201703023
【打印本页】   【HTML】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
过刊浏览    高级检索
本文已被:浏览 1854次   下载 1076 本文二维码信息
码上扫一扫!
分享到: 微信 更多
一种双频非组合实时精密定位方法
李慧,赵琳,李亮,丁继成
(哈尔滨工程大学 自动化学院, 哈尔滨 150001)
摘要:
为满足单系统单基线双频数据条件下的实时精密定位需求,提出一种双频非组合实时精密定位技术,基于站间-星间载波相位及伪距观测量双差观测模型,实现单系统单基线双频非组合RTK(Real Time Kinematic).通过分析双差模型观测量冗余度,确立模型残余误差处理策略,设定状态向量,推导并建立状态预测方程及测量方程,实时更新状态向量变换矩阵,根据随机模型调整两种观测量数据的权重,最后利用扩展卡尔曼滤波器技术得到实时定位结果.文中基于几组中长基线实验,通过考察定位结果的三维定位误差及整周模糊度成功固定率,验证该方法的有效性.实验结果表明,在中长基线条件下进行实时定位,该方法精度可以达到厘米级,基线长度为135.6 km时,整周模糊度固定成功率为97.3%,东向、北向、天向的CEP95定位误差分别为1.35 cm、1.84 cm、7.08 cm.双频非组合技术充分利用差分技术的优势消除与距离无关的相关误差,并有效地避免了观测值组合过程所引起的观测噪声,可以实现中长基线条件下的厘米级实时定位.
关键词:  实时精密定位  双频  非组合  中长基线  扩展卡尔曼
DOI:10.11918/j.issn.0367-6234.201703023
分类号:P223
文献标识码:A
基金项目:国家自然科学基金重点项目(61633008)、国家自然科学基金青年科学基金(61304235、61401114)资助的课题.
Real-time precise positioning using dual-frequency uncombined data
LI Hui,ZHAO Lin,LI Liang,DING Jicheng
(College of Automation, Harbin Engineering University, Harbin 150001, China)
Abstract:
To satisfy the real-time precise positioning requirement of single-system single-baseline with dual-frequency data, a novel approach based on dual-frequency uncombined data is proposed. The single-system single-baseline and dual-frequency uncombined Real Time Kinematic (RTK) is realized based on inter-station-inter-satellite carrier phase and pseudorange measurement model. Based on the analysis of the residual errors of the double difference model, the state vector is established, and then the state prediction equation and the measurement equation are derived. The real-time transformation matrix of the state vector is established at each epoch, and the weights of observations including pseudorange and carrier phase are adjusted by a random model. Then extended Kalman filter is used to estimate the position of the user receiver. The approach is tested with several groups of medium-range and long-range single-baseline data which are the actual collection of satellites in the experiment. The effectiveness of the approach is verified by examining the three-dimensional errors of the positioning result as well as the success rate of the ambiguities. It is shown that when the baseline is 135.6 km, the positioning accuracy of the proposed approach can reach the centimeter level with the 97.3% success rate of the ambiguities, and the CEP95 positioning errors of east and north and sky directions are 1.35 cm, 1.84 cm, 7.08 cm respectively. This approach makes full use of the advantages of differential technology to eliminate the relative errors independent of distance and effectively avoid the noise caused by the linear combination of the multiple frequency measurements and can satisfy real-time precise positioning for medium and long single-baseline.
Key words:  real-time precise positioning  dual-frequency  uncombined  medium and long baseline  extended Kalman filter

友情链接LINKS