@inproceedings{cfaa84a2e53d473da709ccb1f8ab79e0,
title = "Compressed Sensing ISAR 3D Imaging Methods Based on OMP Algorithm",
abstract = "In the application of three-dimensional imaging inverse synthetic aperture radar, the existing matching tracking-based compression tracking reconstruction algorithm has many problems, such as large computer storage and low computational efficiency. Based on the Orthogonal Matching Pursuit (OMP) algorithm, this paper proposes a dimensionality-compressive sensing reconstruction method Kron OMP based on the sparseness of the Inverse-Synthetic-Aperture-Radar (ISAR) target and the three-dimensional separability of the perceptual matrix. Firstly, a three-dimensional ISAR imaging model is established, and the Kronecker product expression method is used to split the perceptual matrix and transform the 3D reconstruction into a two-dimensional reconstruction problem. Comparing the time and memory consumption of the algorithm, the Kron OMP algorithm reduces the computer memory requirements of the perceptual matrix by more than 95\% during the reconstruction process and reduces the computation time by more than 90\%. Simulation experiments verify the effectiveness of the algorithm.",
keywords = "Compressed sensing, ISAR, OMP, Signal reconstruction, Three-dimensional imaging",
author = "Jingcheng Zhao and Zongkai Yang and Shaozhu Gu",
note = "Publisher Copyright: {\textcopyright} ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019.; 1st EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2019 ; Conference date: 25-05-2019 Through 26-05-2019",
year = "2019",
doi = "10.1007/978-3-030-22968-9\_25",
language = "英语",
isbn = "9783030229672",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "279--292",
editor = "Shuai Han and Liang Ye and Weixiao Meng",
booktitle = "Artificial Intelligence for Communications and Networks - 1st EAI International Conference, AICON 2019, Proceedings",
address = "德国",
}