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The GIVE ionospheric delay correction approach to improve positional accuracy of NavIC/IRNSS single-frequency receiver

机译:给出电离层延迟校正方法,提高纳米/ IRNSS单频接收机的位置精度

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The Navigation with Indian Constellation (NavIC)/Indian Regional Navigation Satellite System (IRNSS) is an independent navigation system developed for the Indian subcontinent by the Indian Space Research Organisation (ISRO). The positional accuracy of this system is mainly affected by the ionosphere of the low-latitude equatorial Indian subcontinent, as large ionospheric gradients and intense irregularities are present in it. The objective of this study is to improve the positional accuracy of NavIC/IRNSS systems by applying ionospheric correction using the most suitable single-frequency model. The data to be analysed were collected from the NavIC/IRNSS receiver provided by the Space Applications Centre, ISRO. A comparative analysis between the dual-frequency model and single-frequency model (e.g. GIVE model, coefficient-based model) was performed on the data from the NavIC/IRNSS receiver. Different ionospheric models were applied to compute ionospheric delay (ionodelay) on a quiet day (3 & K-P & 5). Our result shows that both the single-frequency Grid Ionosphere Vertical Error (GIVE) model and dual frequency model outperform remarkably compared to the traditional coefficient-based model. The GIVE model was also analysed on FAR categorized satellites for different stormy days of different months. It was observed that during stormy days also, the 3D position computed by applying the GIVE model was nearly the same as the dual-frequency model.
机译:与印度星座(NAVIC)/印度区域导航卫星系统(IRNSS)的导航是由印度空间研究组织(ISRO)为印度次大陆开发的独立导航系统。该系统的位置准确性主要受低纬度赤道印度印度次大陆电离层的影响,因为它存在大的电离层梯度和强烈的不规则性。本研究的目的是通过使用最合适的单频模型施加电离层校正来提高Navic / IRNSS系统的位置精度。要分析的数据是从空间应用中心提供的空域/ IRNSS接收器中收集的数据。对来自Navic / Irnss接收器的数据执行了双频模型和单频模型(例如给出模型,基于系数的模型)的比较分析。应用不同的电离层模型以在安静的一天(3& k-p& 5)上计算电离层延迟(Ionodelay)。我们的结果表明,与传统的基于系数的模型相比,单频电压电离层垂直误差(给予)模型和双频模型均显着优于相比。还在远远分类卫星上分析了给出的模型,以进行不同月不同的暴风雨天。观察到,在暴风雨天期间,通过应用给出模型计算的3D位置几乎与双频模型几乎相同。

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