@inproceedings{8ddd003ff9b0433a995be0ec57088003,
title = "High-resolution ISAR imaging with sparse subband based on waveform fusion dictionary",
abstract = "In this paper, a new high-resolution ISAR Imaging method by using sparse subband measurements is developed. It requires no resampling the irregularly measurements onto a uniform frequency grid. Firstly, a one-dimensional waveform dictionary for LFM signal after dechirping is constructed, and the principle of dictionary fusion is illustrated. Then, the two-dimensional waveform fusion dictionary is proposed. Secondly, the fusion imaging method based on Bayesian framework is analyzed, and a hierarchical form of the Laplace prior is used to sparse modeling of the high-resolution ISAR image. Finally, we provide experimental results with one-dimensional and two-dimensional fusion imaging, which illustrated the effectiveness and the superiority of the proposed fusion method over the existing algorithms.",
keywords = "Bayesian, High-resolution, ISAR, Signal-Fusion",
author = "Juntao Ma and Meiguo Gao and Mingfei Xia and Wenhua Hu and Zizhi Gao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 7th IEEE International Conference on Electronics Information and Emergency Communication, ICEIEC 2017 ; Conference date: 21-07-2017 Through 23-07-2017",
year = "2017",
month = oct,
day = "19",
doi = "10.1109/ICEIEC.2017.8076588",
language = "English",
series = "Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "385--390",
editor = "Li Wenzheng and Seng-Pan U and Zhu Hongdan and Ni Shaowen",
booktitle = "Proceedings of 2017 IEEE 7th International Conference on Electronics Information and Emergency Communication, ICEIEC 2017",
address = "United States",
}