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基于小波分析的GEO卫星异常识别研究 被引量:2

GEO SATELLITE ABNORMITY RECOGNITION BASED ON WAVELET ANALYSIS
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摘要 当卫星轨道异常发生时,用动力学方法所确定的卫星轨道与卫星实际轨道偏差较大,如不能及时发现将会严重影响用户的导航定位精度。在几何法定轨的基础上提出了基于小波分析的GEO卫星异常识别方法,设计了固定分组法和移动开窗法两种方案,并结合COMPASS卫星机动期间几何法定轨结果进行了分析。研究结果表明:两种方案均能准确判断卫星发生异常的时间,判定精度均优于5 s。 Satellite orbit getting with the dynamic determination method is significantly biased from its real position at the occurrence of satellite orbit abnormity, which will lead to serious influence on the positioning accuracy of the users. A method with wavelet analysis technique based on geometric orbit determination for GEO satellite abnormity recognition is proposed and then the grouping fixedly scheme and the opening window scheme are designed for dealing with the geometric orbit determination results during the COMPASS satellite maneuver period. According to the analysis results, both kinds of scheme can distinguish the happening time of satellite abnormity exactly and the resolution is better than five seconds.
出处 《大地测量与地球动力学》 CSCD 北大核心 2010年第5期73-76,共4页 Journal of Geodesy and Geodynamics
基金 上海空间导航与定位技术重点实验室基金(06DZ22101) 武汉大学卫星导航与定位教育部重点实验室基金(GRC-2009004) 国家"863"计划项目(2009AA12Z328)
关键词 地球静止轨道 COMPASS 轨道机动 小波分析 几何法定轨 Geostationary (GEO) COMPASS orbit maneuver wavelet analysis geometry orbit determination
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