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GPS Network RTK Performance Under VeryActive Ionospheric Conditions

机译:非常活跃电离层条件下的GPS网络RTK性能

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摘要

The traditional RTK method only needs one referencernstation, and is capable of providing cm accuracy for staticrnpositioning and dm accuracy for kinematic positioningrnunder normal atmospheric conditions when the interantennarndistance is less than approximately tenrnkilometres. However, under localized high atmosphericrnactivity, the increase in the residual differential errors canrndegrade position accuracy substantially. An effectivernmethod to improve position accuracy under suchrncircumstance is to use network RTK. This method uses arnnetwork of GPS reference stations to model thernatmospheric conditions over the geographic regionrncovered by the network, and then to provide users withrncorrections of spatially correlated errors. Applying theserncorrections can reduce the residual double differencedrncarrier phase errors, thus improving the ambiguityrnresolution and the accuracy of the rover's position.rnThe differential ionospheric errors have a major impact onrnthe improvement provided by the network RTK method.rnPrevious research has shown that the network method canrnyield significant improvement under normal ionosphericrnconditions. To have a thorough understanding of therncapabilities and limitations of the network RTK method,rnthis paper focuses on evaluating its performance underrnvery active ionospheric conditions. Results of this methodrnand the traditional RTK method are compared to assessrnthe quality of the network corrections. After comparison,rnit is found that in a medium scale network, the networkrnRTK method fails to provide more accurate solutionsrnunder such harsh ionospheric conditions. Some datarnprocessing strategies are recommended to improve roverrnreceiver positioning.
机译:传统的RTK方法仅需一个基准站,并且当天线间距小于大约十公里时,能够在正常大气条件下为静态定位提供cm精度,为运动定位提供dm精度。然而,在局部高大气活动度下,残余微分误差的增加会大大降低位置精度。在这种情况下提高定位精度的有效方法是使用网络RTK。该方法使用GPS参考站的神经网络对网络覆盖的地理区域内的大气条件进行建模,然后为用户提供与空间相关的误差的校正。应用正确的校正方法可以减少残留的双差分载波相位误差,从而改善歧义度和流动站位置的准确性。电离层微分误差对网络RTK方法的改进有重大影响。以前的研究表明,网络方法可以产生很大的收益。正常电离层条件下的改进。为了全面了解网络RTK方法的功能和局限性,本文着重评估在电离层活动情况下其性能。比较了该方法和传统RTK方法的结果,以评估网络校正的质量。经过比较,发现在中等规模的网络中,网络RTK方法无法在这种苛刻的电离层条件下提供更准确的解决方案。建议使用一些数据处理策略来改善流动站接收器的位置。

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