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针对不同国家和地区高程基准不一致的问题,该文采用GOCE重力场模型和GPS/水准数据对高程基准统一的方法进行了研究,分析了基于GOCE的不同重力场模型用于计算亚太区域(110°E~180°E,50°S~50°N)高程基准偏差的差异,基于重力场模型GECO,利用亚太区域36个验潮站附近的GPS/水准点数据计算的平均海平面与大地水准面垂直偏差的平均值为0.416m,利用日本沿岸5个GPS/水准点数据计算的高程基准与大地水准面垂直偏差的平均值为0.185m,利用澳大利亚沿岸4个GPS/水准点数据计算的高程基准与大地水准面垂直偏差的平均值为0.41m。 相似文献
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We have defined new algorithms for the data processing of a satellite geodesy mission with gradiometer (such as the next European
mission GOCE) to extract the information on the gravity field coefficients with a realistic estimate of their accuracy. The
large scale data processing can be managed by a multistage decomposition. First the spacecraft position is determined, i.e.,
a kinematic method is normally used. Second we use a new method to perform the necessary digital calibration of the gradiometer.
Third we use a multiarc approach to separately solve for the global gravity field parameters. Fourth we use an approximate
resonant decomposition, that is we partition in a new way the harmonic coefficients of the gravity field. Thus the normal
system is reduced to blocks of manageable size without neglecting significant correlations. Still the normal system is badly
conditioned because of the polar gaps in the spatial distribution of the data. We have shown that the principal components
of the uncertainty correspond to harmonic anomalies with very small signal in the region where GOCE is flying; these uncertainties
cannot be removed by any data processing method. This allows a complete simulation of the GOCE mission with affordable computer
resources. We show that it is possible to solve for the harmonic coefficients up to degree 200–220 with signal to error ratio
≥1, taking into account systematic measurement errors. Errors in the spacecraft orbit, as expected from state of the art satellite
navigation, do not degrade the solution. Gradiometer calibration is the main problem. By including a systematic error model,
we have shown that the results are sensitive to spurious gradiometer signals at frequencies close to the lower limit of the
measurement band. If these spurious effects grow as the inverse of the frequency, then the actual error is larger than the
formal error only by a factor ≃2, that is the results are not compromised. 相似文献
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本文论述了最小二乘过程中有色噪声的处理方法,提出使用AR模型对GOCE梯度观测值中的有色噪声进行时域滤波,数值模拟结果验证了该方法的有效性。利用数值模拟验证了直接求逆方法和PCCG法求解大型法方程的有效性,后者的效率远远高于前者。联合加入噪声（有色噪声和白噪声）的卫星重力梯度张量径向分量观测值Vzz和SST观测值,分别使用空域最小二乘法和SA方法恢复了180阶全球重力场模型,前者求解重力场模型的大地水准面和重力异常在180阶次的精度分别为3.01cm和0.75mGal,优于SA方法求解模型的精度。 相似文献
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??????????????????????????????????????????????????????????????????????????GOCE????????????????????GOCE????????????????????????????????????????????????????????????????????????????“???-???”????????????????????????????? 相似文献
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GOCE���������ݶȲ�������������ģ���о� 总被引：5，自引：2，他引：3
????GOCE?????????????????????????????????????AR??????????????PSD?????????????????????????????У?????AR??????????????????????????????????????????????????????????????PSD????????????????????????У???????????????ж????PSD????????PSD???????????AR??????????GOCE???????????????????????????????Ч??? 相似文献
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???????????????????????δ???????λ??????????????GOCE????2009-11-01-2010-01-31???????????????????????????????120??ε??????????GOCE-AAA01S???????????????12???????????????????????????????????????????????????????????????120??ε????????????±6.8 cm????6~120?????GOCE-AAA01S?????????EIGEN-CHAMP03S????102??????GOCE-AAA01S????????EGM96??????δ????????????????????????????λ??????г???????? 相似文献
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GOCE卫星提供的梯度数据含有非常大的低频误差,如何处理这种误差是GOCE数据处理中最为关键的工作之一.本文根据GOCE卫星的运行情况,首先分析了梯度数据的频率特性,推导了频率与阶次的对应关系;并在此之上,介绍了针对低频误差的滤波方法,即移去恢复和向前向后滤波方法,前者可解决滤波中的低频信号损失问题,后者则主要解决了滤波中的相位漂移问题.最终结果表明:引力梯度的时间频谱与球谐展开中的阶次虽不是一一对应的,但各阶所对应的最大截止频率与阶次却有一定的显式表达.同时也表明,本文所采用的滤波方法是有效的,达到了消除低频误差但保留观测频段信号的目的. 相似文献
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从累积大地水准面误差、几何水准面与重力水准面之差、不同频段重力场模型的组合3个方面,评估了欧空局发布的时域法、空域法、直接法3个模型的精度。频谱分析和北美实测GPS/水准结果表明,第4代直接法模型精度达到“空间分辨率100 km情况下,大地水准面精度±1 cm”的设计要求|直接法模型精度高于时域法模型和空域法模型|GOCE数据能有效地提高重力场中频、甚至高频信号的精度。 相似文献