Real-time Estimation of Tropospheric Slant Delay in Two-way Troposphere Time Transfer

LIU Jiye; CHEN Xihong; LIU Zan

doi:10.11999/JEIT170581

Volume 40 Issue 3

Mar. 2018

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2018 > 40(3): 587-593

LIU Jiye, CHEN Xihong, LIU Zan. Real-time Estimation of Tropospheric Slant Delay in Two-way Troposphere Time Transfer[J]. Journal of Electronics & Information Technology, 2018, 40(3): 587-593. doi: 10.11999/JEIT170581

Citation:

LIU Jiye, CHEN Xihong, LIU Zan. Real-time Estimation of Tropospheric Slant Delay in Two-way Troposphere Time Transfer[J]. Journal of Electronics & Information Technology, 2018, 40(3): 587-593. doi: 10.11999/JEIT170581

Citation:

PDF( 5046 KB)

Real-time Estimation of Tropospheric Slant Delay in Two-way Troposphere Time Transfer

doi: 10.11999/JEIT170581

Funds:

The National Natural Science Foundation of China (61671468, 61701525)

Received Date: 2017-06-15
Rev Recd Date: 2017-11-15
Publish Date: 2018-03-19

Abstract

Abstract

Tropospheric slant delay is a main error source in two way time transfer via tropospheric scatter communication. A method for real-time estimation of tropospheric slant in two way time transfer via tropospheric scatter communication is proposed. The meteorological data of the station are calculated by the GPT2w model to overcome the reliance on the real-time meteorological data in the estimation of tropospheric delay. In order to solve the problem of the fixed height of the top troposphere layer, the real height of the top troposphere layer is calculated by geometric method to solve the practical application. Three stations in Japan are selected and compared with each other. After verifying the accuracy of the Hopfield model, the tropospheric delay of the three groups at different angles and different time is calculated. The results show that the tropospheric slant delay in two-way troposphere time transfer increases with the increase of the distance, and decreases with the increase of the angle, and the variation characteristics of the four seasons are obvious. The tropospheric delay of the three stations is between 10~35 m, and the time delay after subtracting 90% is 3.5~11.8 ns.
- Two-way time transfer,
- GPT2w model,
- Hopfield model,
- Slant propagation delay

FullText(HTML)

References(25)

References

HUANG Yijiun, FUJIEDA Miho, TAKIGUCHI, Hiroshi, et al. Stability improvement of an operational two-way satellite time and frequency transfer system[J]. Metrologia, 2016, 53(2): 881-890. doi: 10.1088/0026-1394/53/2/881.

SLIWCZYNSKI L, KREHLIK P, KOLODZIEJ J, et al. Fiber- optic time transfer for UTC-traceable synchronization for telecom networks[J]. IEEE Communications Standards Magazine, 2017, 1(1): 66-73. doi: 10.1109/MCOMSTD.2017.1600766ST.

WILSON R. An investigation of time transfer accuracies over a utility microwave communications channe[J]. IEEE Transactions on Power Delivery, 1993, 8(3): 993-999. doi: 10.1109/61.252627.

刘强, 孙际哲, 陈西宏, 等. 对流层双向时间比对及其时延误差分析[J]. 测绘学报, 2014, 43(4): 341-347. doi: 10.13485/j.cnki. 11-2089.2014.0051.

LIU Qiang, SUN Jizhe, CHEN Xihong, et al. Analysis of two way troposphere time transfer and its delay errors[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(4): 341-347. doi: 10.13485/ j.cnki.11-2089.2014.0051.

CHEN X H, LIU Q, HU D H, et al. Delay analysis of two way time transfer based on troposphere gradients[C]. Proceedings of the 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), Beijing, China, 2014: 543-547. doi: 10.1049/ic.2014.0158.

陈西宏, 刘赞, 刘强, 等. 对流层散射双向时间比对中对流层斜延迟估计[J]. 国防科技大学学报, 2016, 38(2): 171-176. doi: 10.11887/j.cn.201602028.

CHEN Xihong, LIU Zan, LIU Qiang, et al. Tropospheric slant delay estimation in two-way troposphere time transfer[J]. Journal of National University of Defense Technology, 2016, 38(2): 171-176. doi: 10.11887/j.cn.201602028.

陈西宏, 吴文溢, 刘赞. 基于改进射线描迹法的对流层斜延迟估计[J]. 电子与信息学报, 2016, 38(10): 2468-2474. doi: 10.11999 /JEIT160023.

CHEN Xihong, WU Wenyi, and LIU Zan. Estimation of tropospheric slant delay based on improved ray tracing method[J]. Journal of Electronics Information Technology, 2016, 38(10): 2468-2474. doi: 10.11999/JEIT160023.

BOEHM J, HEINKELM R, and SCHUN H. Short note: A global model of pressure and temperature for geodetic applications[J]. Journal of Geodesy, 2007, 81(10): 679-683. doi: 10.1007/s00190- 007-0135-3.

LAGLER K, SCHINDELEGGER M, BOEHM J, et al. GPT2: Empirical slant delay model for radio space geodetic techniques [J]. Geophys Research Letter, 2013, 40(6): 1069-1073. doi: 10.1002/grl.50288.

BOEHM J, MOLLER, SCHINDELEGGER M, et al. Development of an improved empirical model for slant delays in the troposphere (GPT2w)[J]. GPS Solutions, 2014, 19(3): 433-441. doi: 10.1007/s10291-014-0403-7.

陈西宏, 刘赞, 刘继业, 等. 低仰角下对流层散射斜延迟估计方法[J]. 电子与信息学报, 2016, 38(2): 408-412. doi: 10.11999/ JEIT150628.

CHEN Xihong, LIU Zan, LIU Jiye, et al. Estimating tropospheric slant scatter delay at low elevation[J]. Journal of Electronics Information Technology, 2016, 38(2): 408-412. doi: 10.11999/JEIT150628.

姚宜斌, 胡羽丰, 张豹. 利用多源数据构建全球天顶对流层延迟模型[J]. 科学通报, 2016, 61(24): 2730-2741. doi: 10.1007/ N972015-01102.

YAO Yibin, HU Yufeng, and ZHANG Bao. Establishment of a global zenith tropospheric delay model using multi-source data[J]. Science Bulletin, 2016, 61(24): 2730-2741. doi: 10.1007/N972015-01102.

MARINI J. Correction of satellite tracking data for an arbitrary tropospheric profile[J]. Radio Science, 1972, 7(2): 223-231. doi: 10.1029/RS007i002p00223.

DAVIS J, HERRING T, SHAPIRO I, et al. Geodesy by radio interferometry: Effects of atmospheric modeling errors on estimates of baseline length[J]. Radio Science, 1985, 20(6): 1593-1607. doi: 10.1029/RS020i006p01593.

CHEN G and HERRING T. Effects of atmospheric azimuthal asymmetry on the analysis of space geodetic data[J]. Journal of Geophysical Research Solid Earth, 1997, 102(B9): 20489-20502. doi: 10.1029/97JB01739.

NIELL A. Global mapping functions for the atmospheric delay at radio wavelengths[J]. Journal of Geophysical Research, 1996, 101(B2): 3227-3246. doi: 10.1029/95JB03048.

BOEHM J and SCHUN H. Vienna mapping functions in VLBI analyses[J]. Geophysical Research Letters, 2004, 31(1): L01603. doi: 10.1029/2003GL018984.

BOEHM J, NIELL A, TREGONING P, et al. Global Mapping Function (GMF): A new empirical mapping function based on numerical weather model data[J]. Geophysical Research Letters, 2006, 33(7): L07304. doi: 10.1029/2005GL025546.

FOELSCHE U and KIRCHENGAST G. A new geometric mapping function for the hydrostatic delay at GPS frequencies[J]. Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy, 2001, 26(3): 153-157. doi: 10.1016/S1464-1895(01)00039-4.

UPPALA S, KALLBERG P, SIMMONS A, et al. The ERA-40 re-analysis[J]. Quarterly Journal of the Royal Meteorological Society, 2005, 131(612): 2961-3012. doi: 10.1256/qj.04.176.

Relative Articles

Supplements(0)

Cited By

Proportional views