电离层虚高误差影响下基于神经网络的单站定位结果修正  

Single-station Positioning Error Correction Based on Neural Network under Influence of Ionospheric Virtual Height Error

作　　者：祝志聪 张莉[1] 王鼎[1] 邓杰 高卫港 ZHU Zhicong;ZHANG Li;WANG Ding;DENG Jie;GAO Weigang(Institute of Information Systems Engineering,Information Engineering University,Zhengzhou 450001,China)

机构地区：[1]信息工程大学信息系统工程学院,河南郑州450001

出　　处：《电讯技术》2023年第11期1718-1723,共6页Telecommunication Engineering

基　　金：国家自然科学基金资助项目(62171469,62071029)。

摘　　要：针对电离层虚高观测误差使得超视距目标定位精度受到一定限制的问题,提出了一种电离层虚高误差影响下基于神经网络的单站定位误差校正方法。在存在电离层虚高误差的单站定位场景中,利用神经网络对多重信号分类(Multiple Signal Classification,MUSIC)算法的位置估计结果进行修正。仿真实验表明,在信噪比为0 dB的情况下,30 km的电离层虚高误差引起的定位误差能从111 km降到10 km以内。For the problem that the ionospheric virtual height observation error limits the positioning accuracy of over-the-horizon targets,a single-station positioning error correction method based on neural network under the influence of the ionospheric virtual height error is proposed.In the single-station positioning scenario with ionospheric virtual height error,the position estimation result of Multiple Signal Classification(MUSIC)algorithm is corrected by neural network.Simulation experiments show that the positioning error caused by the 30 km ionospheric false height error can be reduced from 111 km to less than 10 km when the signal-to-noise ratio is 0 dB.

关 键 词：超视距单站定位 电离层虚高误差 神经网络 MUSIC算法 

分 类 号：TN911.72[电子电信—通信与信息系统]