Algorithm for the estimation of ionosphere parameters from ground scatter echoes of SuperDARN
Algorithm for the estimation of ionosphere parameters from ground scatter echoes of SuperDARN
复制标题
SuperDARN地面散射回波电离层参数估计算法
DOI：
10.1007/s11431-017-9178-4
复制
发表时间：
2018-11-01
影响因子：
4.6
通讯作者：
Liu JianJun
中科院分区：
文献类型：
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作者：
Huang DeHong;Liu ErXiao;Liu JianJun
高频超视距雷达地面和海洋后向散射回波可用于估计电离层临界频率，提供从发射机到接收器位置长达数千公里的电离层状态。利用超双极光雷达网(SuperDARN)的扫频方式，可以得到每个频段的跳跃距离，进而估计出最大可用频率随距离的变化。在已知仰角或电离层虚反射高度的情况下，估算了F区的临界频率。计算了这两个样本总体作为滞后的函数的互相关，结果表明，在0滞后时，所有选定事件的互相关系数可高达0.8，从而验证了所提出算法的合理性。因此，该算法适用于地面/海面后向散射回波较丰富的情况。
The High-frequency over-the-horizon radar ground and sea backscatter echoes can be used to estimate the ionosphere critical frequency, providing the ionosphere states up to thousands of kilometers from the transmitter to receiver location. In this study, using the frequency scanning mode of super dual auroral radar network (SuperDARN), the skip distance of every frequency band can be obtained, then, the variation of maximum usable frequency with range is estimated. With the knowledge of elevation angles or an assigned virtual reflection height in ionosphere, the F-region critical frequency has been estimated. The cross correlation of these two sample populations as a function of the lag is calculated, which shows that the cross-correlation coefficients can be as high as 0.8 in all selected events at 0 lag, thus validating the rationality of the proposed algorithm. Therefore, the algorithm is suitable for application under conditions of abundant ground/sea backscatter echoes.