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导航卫星广播星历误差特性频域分析及预报模型

黄文德;王威;郗晓宁;   

  1. 国防科学技术大学机电工程与自动化学院;
  • 发布日期:2010-06-25

Spectral Characteristic Analysis and Prediction Model Research of Navigation Satellite Broadcast Ephemeris Errors

Huang Wende Wang Wei Xi Xiaoning(College of Mechatronics Engineering and Automation,National University of Defense Technology,Changsha 410073)   

  • Online:2010-06-25
  • Supported by:
    国家863计划项目(2007AA12Z307)资助

摘要: 广播星历误差是影响卫星导航用户定位精度的重要因素之一。文章以GPS为例,应用误差频谱分析方法对GPS广播星历在频域内的误差特性进行分析,利用频谱分析模型及其与AR的混合模型对星历误差进行预报。分析结果表明,GPS广播星历具有明显的周期变化;频谱分析模型可以发现星历误差的主要周期变化,但预报精度不高;频谱分析和AR混合模型预报精度较高,经过误差补偿后,广播星历精度在0.5m以内(1σ)。

关键词: 广播星历, 频谱分析误差补偿定位精度

Abstract: Ephemeris error is one of the most important factors which affect positioning precision when satellite navigation was used.First,taking the GPS as an example,the spectral characteristic of broadcast ephemeris error was analyzed,in which the spectral analysis method was applied.And then ephemeris errors were predicted by using the spectral analysis model and the combined model which of the AR model and the spectral analysis model.The results of research demonstrate that the GPS broadcast ephemeris has periodical wave error,the main period variations of broadcast ephemeris can be determined by the spectral analysis model though its prediction precision is not high.After compensation,the precision of ephemeris was at 0.5 meter level (1σ) when the spectral analysis and AR combined model was used.