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Network-based RTK Positioning: Impact of Separating Dispersive and Non-dispersive Components on User-side Processing Strategy

机译:基于网络的RTK定位:分散和非分散组件对用户端处理策略的影响

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摘要

The concept of network-based positioning has been extensively developed in order to better model the distance-dependent errors of GPS carrier-phase measurements. These errors can be separated into a frequency-dependent or dispersive component (e.g. the ionospheric delay) and a non-dispersive component (e.g. the tropospheric delay and orbit biases). In fact, dispersive and non-dispersive errors have different dynamic effects on the GPS network corrections. The separation of the two is useful for modelling the network corrections and can provide network users with more options for their data processing strategy. A simple running average is proposed in this paper to provide a stable network correction for the non-dispersive term. It is found that the non-dispersive correction can be used to obtain better ionosphere-free measurements, and therefore helpful in resolving the long-range integer ambiguity of the GPS carrier-phase measurements. Once the integer ambiguities have been resolved, dispersive and non-dispersive corrections can be applied to the fixed carrier-phase measurements for positioning step so as to improve the accuracy of the estimated coordinates. Instantaneous positioning, i.e. single-epoch positioning, has been tested for two regional networks: Sydney Network (SYDNET) and Singapore Integrated Multiple Reference Station (SIMRSN), Singapore. The test results have shown that the proposed strategy performs well in generating the network corrections, in fixing ambiguities and in computing a user’s position.
机译:为了更好地建模GPS载波相位测量的距离相关误差,已经广泛开发了基于网络的定位概念。这些误差可以分为频率相关或色散分量(例如电离层延迟)和非色散分量(例如对流层延迟和轨道偏差)。实际上,色散和非色散误差对GPS网络校正具有不同的动态影响。两者的分离对于建模网络校正非常有用,并且可以为网络用户提供更多数据处理策略的选择。本文提出了一个简单的运行平均值,以为非色散项提供稳定的网络校正。发现非色散校正可用于获得更好的无电离层测量结果,因此有助于解决GPS载波相位测量结果的远程整数模糊性。一旦解决了整数模糊度,就可以将色散和非色散校正应用于固定的载波相位测量以进行定位,以提高估计坐标的准确性。瞬时定位(即单时定位)已针对两个区域网络进行了测试:悉尼网络(SYDNET)和新加坡新加坡综合多参考站(SIMRSN)。测试结果表明,所提出的策略在生成网络校正,修正歧义和计算用户位置方面表现良好。

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