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Abstract

Aiming at the characteristics of the airborne forward-squint SAR imaging, a high-performance SAR real-time processing system is established in this paper. Firstly, in order to realize range cell migration correction (RCMC) accurately and range-azimuth decoupling in forward-squint SAR imaging, a high-precision SAR imaging algorithm is used in this system, namely nolinear chirp scaling(NCS) algorithm. Secondly, the motion of airborne platform is unstable, so the weighted phase gradient autofocus (WPGA) algorithm is used for motion compensation. Finally, a real-time signal processor is designed which is based on the TMS320C6678 multi-core DSPs issued by TI. The processor satisfied the demands of SAR real-time imaging because of its powerful processing performance and high-speed data transmission ability.

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Title
A real-time processing system for airborne forward-squint SAR based on DSP
Author
Zhang, Ningyu 1 ; Yao, Di 1 ; Li, Congxin 1 ; Jing, Kai 1 

 Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China 
Publication title
Source details
IET International Radar Conference 2015
Publication year
2015
Publication date
Oct 14, 2015
Publisher
The Institution of Engineering & Technology
Place of publication
Stevenage
Country of publication
United Kingdom
Publication subject
ISBN
978-1-78561-038-7
Source type
Conference Paper
Language of publication
English
Document type
Conference Proceedings
ProQuest document ID
1809801547
Document URL
https://www.proquest.com/conference-papers-proceedings/real-time-processing-system-airborne-forward/docview/1809801547/se-2?accountid=208611
Copyright
Copyright The Institution of Engineering & Technology Oct 14, 2015
Last updated
2024-08-27
Database
ProQuest One Academic