| Issue |
MATEC Web Conf.
Volume 232, 2018
2018 2nd International Conference on Electronic Information Technology and Computer Engineering (EITCE 2018)
|
|
|---|---|---|
| Article Number | 01059 | |
| Number of page(s) | 4 | |
| Section | Network Security System, Neural Network and Data Information | |
| DOI | https://doi.org/10.1051/matecconf/201823201059 | |
| Published online | 19 November 2018 | |
Processing the Non-parallel Bistatic SAR Data by Using Chirp-z Transform
National University of Defense Technology, Hefei, Anhui, China
a Corresponding author: jinhe_ran@163.com
A new analytical imaging algorithm based on Chirp-z transform (CZT) for focusing non-parallel bistatic SAR data is proposed. The reference function multiplication (RFM) is firstly performed to finish the bulk focusing. Then the phase terms of spectrum are decomposed into range phase term and azimuth phase term, and their space-variances are eliminated by CZT independently to finish the differential focusing. The algorithm can be applied to wide scene imaging, and its effectiveness is verified by simulations.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.