Improved Adaptive Hatch Filter Algorithm Based on Code-carrier Divergence

被引:0
|
作者
Hu J. [1 ,2 ]
Zhang L. [1 ,2 ]
Zhu Y. [3 ]
Zhou L. [4 ]
机构
[1] The 28th Research Institute, China Electronics Technology Group Corporation, Nanjing
[2] State Key Laboratory of Air Traffic Management System and Technology, Nanjing
[3] School of Mechanical Engineering, Nantong University, Nantong
[4] Department of Physics and Electronic Engineering, Yuncheng University, Yuncheng
来源
Binggong Xuebao/Acta Armamentarii | 2021年 / 42卷 / 03期
关键词
Code-carrier divergence; Ground-based augmentation system; Hatch filter; Ionospheric delay; Pseudorange measurement noise;
D O I
10.3969/j.issn.1000-1093.2021.03.011
中图分类号
学科分类号
摘要
The smoothing accuracy of carrier-phase smoothing pseudorange in single-frequency ground-based augmentation system (GBAS) is easily affected by the ionospheric delay and pseudorange measurement noises. The influence of code-carrier divergence of satellite signal on the smoothing accuracy of Hatch filter is analyzed, and an improved adaptive Hatch filter algorithm based on code-carrier divergence is proposed. The code-minus-carrier is computed using pseudorange and carrier-phase measurements, and its first-order linear model is established. The ionospheric delay rate is estimated by using the least square method. Given the estimated ionospheric delay rate, the pseudorange measurement noise can be separated. A function model between the root mean square of smoothed pseudorange and the ionospheric delay rate, the standard deviation of pseudorange measurement noise and the smoothing time of Hatch filter is established, from which the optimal smoothing time of Hatch filter can be calculated. The verification experiments were carried out by using GBAS prototype. The experimental results show that the adaptive Hatch filter is able to calculate the optimal smoothing time of filter based on the real-time ionospheric delay rate and the standard deviation of pseudorange measurement noise. Compared with the traditional fixed smoothing time algorithm, the maximum position accuracy of airborne differential positioning is improved by 53.19 percent by using the adaptive Hatch filter algorithm, which verifies the effectiveness of the proposed algorithm. © 2021, Editorial Board of Acta Armamentarii. All right reserved.
引用
收藏
页码:555 / 562
页数:7
相关论文
共 16 条
  • [1] LEE J, PULLEN S, DATTA-BARUA S, Et al., Real-time ionospheric threat adaptation using a space weather prediction for GNSS-based aircraft landing systems, IEEE Transactions on Intelligent Transportation Systems, 18, 7, pp. 1752-1761, (2017)
  • [2] LIU D, BO Y M, ZOU W J., GPS error modeling based on time series and research on the accuracy of point positioning, Acta Armamentarii, 30, 6, pp. 825-828, (2009)
  • [3] WANG Z P, MACABIAU C, ZHANG J, Et al., Prediction and analysis of GBAS integrity monitoring availability at LinZhi airport, GPS Solutions, 18, 1, pp. 27-40, (2014)
  • [4] DAUTERMANN T, MAYER C, ANTREICH F, Et al., Non-Gaussian error modeling for GBAS integrity assessment, IEEE Transactions on Aerospace and Electronic Systems, 48, 1, pp. 693-706, (2012)
  • [5] HWANG P Y, MCGRAW G A, BADER J R., Enhanced differential GPS carrier smoothed code processing using dual frequency measurements, Journal of the Institute of Navigation, 46, 2, pp. 127-137, (1999)
  • [6] CHANG Z Q, HU X G, GUO R, Et al., Comparison between CNMC and Hatch filter & its precision analysis for BDS precise relative positioning, Scientia Sinica Physica, Mechanica & Astronomica, 45, 7, (2015)
  • [7] HWANG P Y, MCGRAW G A, BADER J R., Enhanced differential GPS carrier smoothed code processing using dual frequency measurements, Journal of the Institute of Navigation, 46, 2, pp. 127-137, (1999)
  • [8] Minimum aviation system performance standards for the local area augmentation system (LAAS): DO-245A, (2004)
  • [9] FELUX M, LEE J Y, HOLZAPFEL F., GBAS ground monitoring requirements from an airworthiness perspective, GPS Solutions, 19, 3, pp. 393-401, (2015)
  • [10] RIFE J, SEN S., Design of a single-frequency filter that minimizes ionosphere divergence error, Proceedings of the 20th International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 368-378, (2007)