基于部分模糊度和Kalman滤波提出了一种适于长基线的模糊度解算方法.该方法首先由两步法和部分模糊度方法解算出高高度角卫星的模糊度；然后由该部分模糊度采用Kalman滤波估计出参考站天顶的大气延迟误差；最后利用估计的天顶大气误差对长基线低高度角卫星的模糊度进行改正,以获得准确值.利用江苏CORS部分基准站数据对该方法进行验证,结果表明该方法固定的长基线、低高度角卫星双差模糊度是准确、可靠的.%With the distance between reference stations longer and longer, the atmospheric error related to spatial distance will be significantly reduced and can not be separated from ambiguity, so that the ambiguity is difficult to be fixed accurately. In view of this, an ambiguity resolution method suitable for long baseline is advanced based on partial ambiguity and Kalman filter. Firstly, the ambiguity of the satellites with higher elevation are resolved by two-steps and partial ambiguity methods. Secondly, the zenith atmospheric delay errors of reference stations are estimated by Kalman filter. Finally, the ambiguity of satellite with lower elevation between long baseline refeience stations is corrected by the zenith atmospheric dalay errors estimated for the accurate resolution. At the last, the method is verified by the observations of part referece stations in Jiangsu CORS, the results show that the double difference ambiguity is accurate and reliable for the satellites with lower elevation between long baseline reference stations.
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