Long-range Loran-C ground-wave propagation prediction based on adaptive moving window finite-difference time-domain method with compute unified device architecture parallel computing techniques
Long-range Loran-C ground-wave propagation prediction based on adaptive moving window finite-difference time-domain method with compute unified device architecture parallel computing techniques
复制标题
基于自适应移动窗时域有限差分法和计算统一器件架构并行计算技术的远程Loran-C地波传播预测
DOI：
10.1049/iet-map.2014.0312
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发表时间：
2015-04
影响因子：
1.7
通讯作者：
Xi, Xiaoli
中科院分区：
文献类型：
--
作者：
Zhou, Lili;Mu, Zhonglin;Pu, Yurong;Xi, Xiaoli
远程罗兰-C信号传播的数值模拟是具有挑战性的，因为它的计算成本非常高。其他分析/半分析方法由于不可避免的近似而不够准确。本文提出了一种基于自适应移动窗口时域有限差分（FDTD）方法的统一器件结构并行计算技术。窗口的移动速度自适应地依赖于波的速度。为了实现自适应移动窗口技术，原始罗兰-C信号被截断的第一。提出了一种进一步提取电场幅值和相位的方法。随着时域有限差分法的更新，计算空间中每个网格的电场振幅和相位数据从空间域同步获取，无需额外的存储成本和时域后处理。在22 min内成功模拟了400 km的传播路径，并以江西省进贤-上饶间的实测数据验证了该方法的有效性。
Modelling long-range Loran-C signal propagation numerically is challenging because of its extremely high computational cost. Other analytical/semi-analytical methods are not accurate enough because of unavoidable approximations. In this study, the authors put forward a solution using the adaptive moving window finite-difference time-domain (FDTD) method to compute unified device architecture parallel computing techniques. The moving velocity of the window is dependent upon the wave speed adaptively. To achieve the adaptive moving window technique, the original Loran-C signal is truncated first. A further method employed to extract the electric field amplitude and phase is proposed. The electric field amplitude and phase data of each mesh in the computational space are synchronously obtained from the spatial domain as the FDTD updates, without additional storage cost and post processing in the time domain. With all these efforts, a 400 km propagation path was simulated successfully within 22 min. Measurement results between Jinxian and Shangrao in Jiangxi Province, China were taken to validate the numerical approach.
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影响因子：
3.5
作者：
F. Akleman;L. Sevgi
通讯作者：
F. Akleman;L. Sevgi
DOI：
10.1109/isape.2012.6408922
发表时间：
2012-10
期刊：
ISAPE2012
影响因子：
--
作者：
Lili Zhou;Xiaoli Xi;Yongxing Du
通讯作者：
Lili Zhou;Xiaoli Xi;Yongxing Du
影响因子：
2.1
作者：
M. Lombardi
通讯作者：
M. Lombardi
影响因子：
1.1
作者：
Wenying Lei;Baixiao Chen
通讯作者：
Wenying Lei;Baixiao Chen
影响因子：
4.2
作者：
G. Apaydin;L. Sevgi
通讯作者：
G. Apaydin;L. Sevgi