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基于正交试验的GNSS应用方法

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  • 北京航空航天大学 电子信息工程学院, 北京 100191
祁永强,博士生,研究方向卫星导航及应用、GNSS-R,E-mailqyq524@126.com;张彦仲,院士,博导,研究方向近代航空电子系统,E-mailzhangyzh@cae.cn

收稿日期: 2015-07-14

  修回日期: 2016-03-02

  网络出版日期: 2016-05-30

基金资助

国家"863"高技术研究发展计划基金(No.2013AA122402)资助

Application of GNSS Based on Orthogonal Test

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  • School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China

Received date: 2015-07-14

  Revised date: 2016-03-02

  Online published: 2016-05-30

摘要

在全球卫星导航系统(global navigation satellite system, GNSS)中,随着四大卫星导航系统的发展与完善,GNSS应用步入了多系统组合的新时代.为此,研究了GNSS多系统组合定位问题,运用正交试验法对GNSS多系统组合应用进行试验和设计,即3个因素不同水平的正交试验.试验中以位置误差均方根和PDOP平均值为GNSS定位精度的评价指标,选取组合的系统、频率、高度截止角3个因素,每个因素有不同的水平,因此选用合适的混合水平正交表.最后选用合适的接收机进行试验,根据试验结果运用综合平衡法得出在特定地区特定环境下GNSS多系统组合的最优应用方案.试验表明,采用该方法解决GNSS多系统的优化组合问题是切实可行的,数据计算和结果分析更加简便客观.

本文引用格式

祁永强, 张彦仲, 张波, 李署坚 . 基于正交试验的GNSS应用方法[J]. 应用科学学报, 2016 , 34(3) : 302 -308 . DOI: 10.3969/j.issn.0255-8297.2016.03.007

Abstract

With rapid development and improvement of four satellite navigation systems, multi-systems are widely used in global navigation satellite system (GNSS) applications. This paper studies combination navigation of GNSS multi-systems. A navigation test of GNSS multi-systems is designed with orthogonal experiments of three factors at different levels. In the test, the RMS and PDOP mean value of position error are evaluated as indicators of GNSS positioning accuracy. Three factors, combined system, frequency and masking angle, are selected. As there are different levels for 3 factors, a mixed-level orthogonal array is selected. A test is carried out with the appropriate receiver according to the design. Optimal application of GNSS multi-system combination under a specific environment in a specific region is obtained by an overall equilibrium method based on the test result. The test shows that the described method is feasible and effective in solving the problem of optimization combination of GNSS multi-system. Calculation and analysis of the result are simple and objective.

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