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中文摘要：
多参考站GPS网提取的大气延迟可服务于天气预报、精密定位等领域，但相关的提取方法存在缺陷，如已知信息利用不充分、大气延迟模型化误差较大等，影响提取结果的可靠性。从改进的GPS网平差策略入手，导出一种新的提取方法，其主要特点包括：①直接处理非差GPS观测值，并采用重新参数化方案消除观测方程中的列秩亏；②发掘各参考站坐标已知、整数双差模糊度等条件；③估计斜向的电离层延迟，且采用常速度过程模型化其时间变化特性。试验表明，新方法提取的大气延迟可实现优于1om的短期预报精度。
英文摘要：
The atmospheric propaganda delays extracted from multiple reference station GPS networks can serve for weather forecasting, precise positioning and so on, the related extracting method however consists of drawbacks that affect the reliability of the obtainable results, such as inadequate adoption of the known information, severe atmospheric modeling errors. Starting from the modified strategy for GPS network processing, a novel extracting method is derived, whose main points include： ①directly processing of the un-differenced GPS observables, and elimination of the rank-deficiencies in the observation equations based upon re-parameterization;②exploiting the conditions of a-priori known coordinates of the reference stations and the integer-valued nature of the double-differenced ambiguities ;③introducing the slant ionospheric delays as one of the unknowns, whose temporal behaviors are characterized as constant-velocity process. Experimental results demonstrate that the short-term predicting precision of the atmospheric delays derived from the new method is at the level better than 1cm.
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