摘要
针对Cornell模型在同一闪烁条件下,数据更新周期越长,估计和模型输入的幅度闪烁指数S4的偏差越大,并随着电离层闪烁的增强而增强的问题,提出基于Cornell模型的自适应S4的电离层闪烁模型即AS4-Cornell模型。模型以S4的偏差作为BP(back propagation)神经网络比例积分微分(proportional integral derivative,PID)算法的反馈,自动调整输入的复高斯白噪声的区段权值,使最终产生的闪烁信号满足模型输入的闪烁指数S4的指标。结果表明:仿真时,AS4-Cornell模型的幅度和相位闪烁序列概率分布均符合电离层闪烁理论,估算得到的电离层幅度指数S4与模型输入S4指数的最大偏差为0.001;全球定位系统(global positioning system,GPS)电离层闪烁模拟器测试时,AS4-Cornell模型估算得到的电离层幅度指数S4与模型输入S4指数的最大偏差为0.09;相比Cornell模型,AS4-Cornell模型产生的电离层闪烁信号更能够很好地反映模型输入的电离层闪烁指数S4的强度。
For Cornell model in the same scintillation conditions,the longer the data update period,the greater the deviation of the estimated and model input amplitude scintillation index S4,and with the enhancement of ionospheric scintillation,the ionospheric scintillation model based on Cornell model with adaptive S4 was proposed,namely AS4-Cornell model.The model used the deviation of S4 as the feedback of the back propagation(BP)neural network proportional integral derivative(PID)algorithm to automatically adjust the zone weights of the input complex Gaussian white noise so that the final generated scintillation signal met the index of the scintillation index S4 input to the model.The results show that the amplitude and phase scintillation sequence probability distributions of the AS4-Cornell model are consistent with the ionospheric scintillation theory during the simulation,and the maximum deviation of the estimated ionospheric amplitude index S4 from the model input S4 index is 0.001.The maximum deviation of the ionospheric amplitude index S4 estimated by the AS4-Cornell model from the model input S4 index for the global positioning system(GPS)ionospheric scintillation simulator testis 0.09.Compared with the Cornell model,the ionospheric scintillation signal generated by the AS4-Cornell model can better reflect the intensity of the ionospheric scintillation index S4 inputted by the model.
作者
易首成
纪元法
孙希延
韦照川
贾茜子
YI Shou-cheng;JI Yuan-fa;SUN Xi-yan;WEI Zhao-chuan;JIA Xi-zi(Guangxi Key Laboratory of Precision Navigation Technology and Application,Guilin University of Electronic Technology,Guilin 541004,China)
出处
《科学技术与工程》
北大核心
2024年第12期4851-4860,共10页
Science Technology and Engineering
基金
国家自然科学基金(62061010,62161007)
广西科技厅项目(桂科AA20302022,桂科AB21196041,桂科AB22035074,桂科AD22080061)
广西八桂学者项目
桂林市科技项目(20210222-1)
广西高校中青年教师科研基础能力提升项目(2022KY0181)。