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- Title
一种基于深度学习的高轨卫星 CEI 信号频率估计算法.
- Authors
高泽夫; 杨文革; 焦义文; 毛飞龙; 王育欣; 李雪健; 张书雅; 李 超; 滕飞
- Abstract
For the difficult problem of high-precision frequency estimation of connected element interferometry(CEI) signals of high-orbit satellites, a frequency estimation model of sinusoidal signals in CEI is established. A CEI frequency estimation algorithm based on deep learning framework is designed. The improved algorithm is divided into frequency representation module based on feedforward deep neural network and frequency calculation and estimation module based on convolutional neural network. The concrete structure as well as learning and training process of each module are designed. The core module of the algorithm is verified by simulation experiments. On this basis, the proposed algorithm is compared with existing algorithms, and the effectiveness, stability and superiority of the algorithm are proved.
- Subjects
SIGNAL frequency estimation; DEEP learning; INTERFEROMETRY
- Publication
Telecommunication Engineering, 2023, Vol 63, Issue 11, p1687
- ISSN
1001-893X
- Publication type
Article
- DOI
10.20079/j.issn.1001-893x.220531003