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A Novel Weight Generator in Real-Time Processing Architecture of DBF-SAR.

Authors :
Qiu, Jinsong
Zhang, Zhimin
Wang, Robert
Wang, Pei
Zhang, Huachun
Du, Jiang
Wang, Wei
Chen, Zhen
Zhou, Yashi
Jia, Hongying
Sun, Huifeng
Source :
IEEE Transactions on Geoscience & Remote Sensing. Jan2022, Vol. 60 Issue 1, p1-15. 15p.
Publication Year :
2022

Abstract

Digital beamforming (DBF) with scan-on-receive (SCORE) technique in elevation is a powerful technique that enables a spaceborne synthetic aperture radar (SAR) to achieve high-resolution wide swath (HRWS) imaging. In the spaceborne DBF-SAR system, sampling signals from each channel are weighted by weights generated by a digital signal processing system in real-time. However, the contradiction between the shortage of spaceborne hardware resources and resource demand of the multichannel real-time signal processing increases the difficulty of system design. In order to solve this problem, a novel weight generator and an improved intermediate frequency (IF) DBF real-time processing architecture are proposed in this article. By taking advantage of the special properties of the SCORE algorithm, the proposed weight generator calculates weights using a linear polynomial algorithm. The simulation result shows that a low-order approximation can achieve high performance. The proposed generator can correct multichannel amplitude and phase error at a low cost on hardware resources. The effectiveness of the proposed method is verified by experiments with a raw data processing instance of an X-band 16 channels DBF-SAR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01962892
Volume :
60
Issue :
1
Database :
Academic Search Index
Journal :
IEEE Transactions on Geoscience & Remote Sensing
Publication Type :
Academic Journal
Accession number :
154824122
Full Text :
https://doi.org/10.1109/TGRS.2021.3067882