A high-precision frequency estimation method for CEI signals of high-orbit satellites

Abstract

In this paper, aiming at 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, an algorithm based on deep learning is designed. The 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 were designed, which are verified by simulation experiments. The effectiveness and superiority of the algorithm are proved, indicating a promising potential in the futuristic high-orbit tracking, surveillance and positioning missions.