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| 引用本文： | 吕慧珠,黄文德,闻德保.??????????????AR????????????????????[J].大地测量与地球动力学,2015,35(2):283-286. |
| 作者姓名： | 吕慧珠 黄文德 闻德保 |
| 作者单位： | 1〓长沙理工大学交通运输工程学院，长沙市万家丽南路2段960号 ，410004 2〓国防科技大学机电工程与自动化学院，长沙市德雅路109号，410073 |
| 基金项目： | 国家自然科学基金（41174001）|湖南省杰出青年基金（14JJ1021）|国家教育部科学技术项目（213028A）|湖南省教育厅重点项目（12A002）|国家高科技研究发展计划（2012AA121804）|第二代卫星导航重大专项（GFZX0301010105） |
| 摘 要： | ?????????????????????ZTD????????????????????￡???????????????????????????????????????????????ZTD???????????????????????????ZTD???н?????????????????????????????????????????ZTD?????????????б????????????????????????в???AR?????и???????????????????????????????AR??????ZTD??????????????????????????μ??????????cm???? |
| 关 键 词： | ???????????? ?????? AR???? ????????? |
| 收稿时间： | 2014-04-03 |
A Tropospheric Delay Prediction Model Based on Spectrum Analysis and the AR Compensation |
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| L Huizhu,HUANG Wende,WEN Debao.A Tropospheric Delay Prediction Model Based on Spectrum Analysis and the AR Compensation[J].Journal of Geodesy and Geodynamics,2015,35(2):283-286. | |
| Authors: | L Huizhu HUANG Wende WEN Debao |
| Institution: | 1〓School of Transportation Engineering, Changsha University of Science and Technology, 960 South-Wanjiali Road, Changsha 410004,China 2〓College of Mechatronics, Engineering and Automation, National University of Defense Technology, 109 Deya Road, Changsha 410073,China |
| Abstract: | Tropospheric delay is one of the main errors affecting the accuracy of satellite navigation and positioning. In response to problems without meteorological conditions, a modeling and forecasting method of tropospheric delay is proposed using the measured value of zenith tropospheric delay (ZTD). Firstly, the cycle characteristics of the time series of ZTD are obtained using spectral analysis. On this basis, the ZTD model is created and the calculation method of model parameters is given. Secondly, the value of ZTD is fitted based on spectral analysis. A comparison is made between the fitting values and the actual data. The fitting residual is determined. Finally, the fitting residual is corrected and predicted using the Auto Regressive model (AR model). The results show that the corrected and predicted model of ZTD based on spectrum analysis and the AR compensation can meet the needs of different testing environments, with the accuracy reaching the centimeter level. |
| Keywords: | tropospheric prediction spectral analysis compensation of AR model receiver tests |
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