GPS参考站对流层湿延迟近实时估计的三步滤波算法

A Three-step Kalman Filter Algorithm for Near Real-time Estimating Tropospheric Wet Delay on GPS Reference Stations

    摘要
  • 摘要: 利用参考站坐标已知的先验信息,基于组合后的超快星历,提出了一种参考站对流层湿延迟近实时估计的三步Kalman滤波算法,该方法先利用Kalman滤波分离宽巷模糊度与伪距多路径误差,再基于电离层无关组合模型,启动Kalman滤波器进行犔１?扔胂喽远粤鞑闶映俚姆掷耄缓罄媒饭潭ǖ臓蹋彼钅:冉谢卮姆椒ǎ匦鹿菇ǎ耍幔欤恚幔盥瞬ㄆ骼垂兰谱既返南喽远粤鞑闶映俨问ü道橹ち烁梅椒ǖ目尚行院驼沸浴€

     

    Abstract: Usingprioriinformationfromknowncoordinatesforreferencestations,basedontacombi nationofultrarapidephemeris,athree stepkalmanfilteralgorithmfornearreal timeestimationoftroposphericwetdelayonreferencestationsisproposed.Inthisalgorithm,widelaneambiguityandpseudorangemultipatherrorareseparatedbyusingaKalmanfilter,andthen,usingtheKalmanfilterforseparating犔１ａｍｂｉｇｕｉｔｙａｎｄｔｒｏｐｏｓｐｈｅｒｉｃｗｅｔｄｅｌａｙｂａｓｅｄｏｎｎａｉｏｎｏｓｐｈｅｒｅｆｒｅｅｃｏｍｂｉｎａｔｉｏｎｍｏｄ el.Afterthatestimatinganaccuraterelativetroposphericwetdelayparameterusingthecorrectlyfixed犔１ａｍｂｉｇｕｉｔｙｂａｃｋｓｕｂｓｔｉｔｕｔｉｏｎｍｅｔｈｏｄａｎｄｒｅｂｕｉｌｄｉｎｇｔｈｅＫａｌｍａｎｆｉｌｔｅｒ．Ｔｈｅｆｅａｓｉｂｉｌｉｔｙａｎｄａｃ curacyofthealgorithmisverifiedthroughnumericalexamples.

     

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