| 注册
首页|期刊导航|华中科技大学学报(自然科学版)|改进的GPS整周模糊度动态快速解算

改进的GPS整周模糊度动态快速解算

段荣 赵修斌 庞春雷 李媛

华中科技大学学报(自然科学版)Issue(9):54-58,5.
华中科技大学学报(自然科学版)Issue(9):54-58,5.DOI:10.13245/j.hust.140912

改进的GPS整周模糊度动态快速解算

Modified algorithm for GPS rapid integer ambiguity resolution

段荣 1赵修斌 1庞春雷 1李媛2

作者信息

  • 1. 空军工程大学信息与导航学院,陕西西安710077
  • 2. 94153部队,陕西咸阳712200
  • 折叠

摘要

Abstract

According to the dynamic GPS (global positioning system ) rapid positioning ambiguity res-olution problems ,a modified algorithm for rapid integer ambiguity resolution was proposed .Firstly ,a method of SVD (singular value decomposition) was applied to construct the left null space of matrix to eliminate the baseline correction vector w hich could separate out the ambiguity parameter from the po-sition parameter .Kalman filter was used to estimate only the ambiguity parameters that acquire real-time float solution of integer ambiguity .Then the ordering and multi-time (inverse) paired Cholesky decomposition were adopted for the decorrelation of ambiguity .The LAMBDA method was used to search the fixed integer ambiguity .To verify the correctness and effectiveness of the algorithm ,the static and dynamic tests were carried out .The experimental results show that the new algorithm can effectively improve the ambiguity float solution calculation speed and precision with better decorrela-tion effect .The static baseline error is less than 1 cm ,while the dynamic baseline error is less than 2 cm ,w hich can be used to rapid dynamic positioning for high precision carrier .

关键词

针对全球定位系统/整周模糊度/奇异值分解/卡尔曼滤波/多次(逆)双乔里斯基分解

Key words

GPS (global positioning system)/integer ambiguity/SVD (singular value decomposi-tion)/Kalman filter/multi-time (inverse) paired Cholesky decomposition

分类

天文与地球科学

引用本文复制引用

段荣,赵修斌,庞春雷,李媛..改进的GPS整周模糊度动态快速解算[J].华中科技大学学报(自然科学版),2014,(9):54-58,5.

基金项目

国家自然科学基金资助项目(61273049);陕西省自然科学基金资助项目(2014JM8309). ()

华中科技大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1671-4512

访问量0
|
下载量0
段落导航相关论文