GPS/BDS的PTK定位算法研究

王世进; 秘金钟; 李得海; 祝会忠

doi:10.13203/j.whugis20120139

GPS/BDS的PTK定位算法研究

¹ 中国测绘科学研究院,北京,100830;² 辽宁工程技术大学,辽宁阜新,123000;³ 中国地震局第一监测中心,天津,300180

基金项目: 国家863计划重点资助项目 (2011AA120503)；国家科技支撑计划资助项目 (2012BAB16B01)；国家863计划资助项目(2013AA122501)；中国测绘科学研究院科研业务费资助项目(7771116)

详细信息

作者简介:
王世进,硕士生,研究方向为GNSS实时动态定位算法及应用。

中图分类号: P228.41
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出版历程
- 收稿日期: 2013-03-03
- 修回日期: 2014-05-04
- 发布日期: 2014-05-04

Real-Time Kinematic Positioning Algorithm of GPS/BDS

¹Chinese Academy of Surveying and Mapping,Beijing 100830,China;²School of Geomatics of Liaoning Technical University,Fuxin 123000,China;³The First Monitoring Center of China Earthquake Administration,Tianjin 300180,China

Funds: The National 863Program of China,No.2011AA120503;the National Key Technology R&D Program,No.2012BAB16B01;the National High-tech R&D Program of China,No.2013AA122501;Research Foundation of China Acedemy of Sur-veying and Mapping,No.7771116.

More Information

Author Bio:
WANG Shijin,postgraduate,specializes in the algorithm and application of GNSS for Real-Time Kinematic positioning.

摘要

摘要: 目的针对附加模糊度参数的Kalman滤波函数模型和随机模型,提出了一种确定实时动态(real-time kine-matic,RTK)定位中Kalman滤波参数的方法。利用该算法,采用自编的GPS/BDS RTK定位程序处理了实测的GPS/BDS短基线数据,对比和分析了GPS、BDS、GPS/BDS三种RTK定位组合模式下的定位精度水平。在短基线的情况下,GPS/BDS的RTK定位精度相对于GPS或者BDS没有明显提高,但是得到固定解所需的时间明显减少。
- GPS/BDS /
- 基线数据 /
- RTK算法 /
- Kalman滤波
Abstract: Objective Based on the Kalman filter function and stochastic models with ambiguity parameters,a newalgorithm is proposed for determining the parameters of the Kalman filter in RTK positioning.Theactual measured short baseline data of GPS/BDS is processed by a self-compiled GPS/BDS RTK posi-tioning program using this algorithm.It employs only a few epochs to give centimeter level positioningresults.Positioning results for three modes using BDS,GPS and BDS/GPS are compared and ana-lyzed.In case of short baselines,the RTK positioning accuracy of GPS/BDS is not improved noticea-bly relative to GPS or BDS.However it takes less time to get a fixed solution for GPS/BDS.This a-nalysis provide reference point for further GPS/BDS positioning research.
- GPS/BDS /
- baseline data /
- RTK algorithm /
- Kalman filter