Ionospheric data assimilation applied to HF geolocation in the presence of traveling ionospheric disturbances

Ionospheric data assimilation applied to HF geolocation in the presence of traveling ionospheric disturbances
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在存在移动电离层扰动的情况下,电离层数据同化应用于高频地理定位

DOI:
10.1002/2016rs006187
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发表时间:
2017
期刊:
影响因子:
1.6
通讯作者:
I. Dekine
I. Dekine
中科院分区:
计算机科学4区
文献类型:
--
作者:
C. Mitchell;N. Rankov;G. Bust;E. Miller;T. Gaussiran;R. Calfas;J. Doyle;L. Teig;J. L. Werth;I. Dekine

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电离层数据同化是一种结合物理模型和观测来评估电子密度三维时变分布的技术。介绍了一种新的电离层数据同化方法,该方法具有解决行进电离层扰动(TID)的能力。TID很重要,因为它们会对无线电信号造成强烈的延迟和折射,这对高频(HF)地理定位系统的精度是有害的。通过数据同化准确地指定电离层的能力可以校正系统对未知电离层折射造成的误差。这里介绍的新的数据同化方法使用电离层模型,并结合对已知发射机的高频信号的观测。同化方法是通过预测一组非同化测试地点发射机发出的高频信号的入射角的能力来测试的。该技术通过2014年1月在新墨西哥州白沙导弹靶场进行的为期两天的电离层测量活动中收集的观测数据进行了演示和验证。这是首次使用基于物理的电离层TID模式的集合进行全高频电离层数据同化。结果表明,与使用经验模型的高频到达角预测以及使用靠近路径中点的电离层探空仪进行单站定位的经典方法相比,该方法有显著的改进。同化方法可扩展到包括其他类型的电离层测量。
Ionospheric data assimilation is a technique to evaluate the 3‐D time varying distribution of electron density using a combination of a physics‐based model and observations. A new ionospheric data assimilation method is introduced that has the capability to resolve traveling ionospheric disturbances (TIDs). TIDs are important because they cause strong delay and refraction to radio signals that are detrimental to the accuracy of high‐frequency (HF) geolocation systems. The capability to accurately specify the ionosphere through data assimilation can correct systems for the error caused by the unknown ionospheric refraction. The new data assimilation method introduced here uses ionospheric models in combination with observations of HF signals from known transmitters. The assimilation methodology was tested by the ability to predict the incoming angles of HF signals from transmitters at a set of nonassimilated test locations. The technique is demonstrated and validated using observations collected during 2 days of a dedicated campaign of ionospheric measurements at White Sands Missile Range in New Mexico in January 2014. This is the first time that full HF ionospheric data assimilation using an ensemble run of a physics‐based model of ionospheric TIDs has been demonstrated. The results show a significant improvement over HF angle‐of‐arrival prediction using an empirical model and also over the classic method of single‐site location using an ionosonde close to the midpoint of the path. The assimilative approach is extendable to include other types of ionospheric measurements.
威德尔海中的移动电离层扰动与地磁活动相关的异常
DOI: 10.1002/jgra.50566
发表时间: 2013
期刊: Space Physics
影响因子: --
作者:
Milan S
通讯作者: Milan S