Ultra-wideband synthetic aperture radar time-frequency representation image formation

2006 ◽  
Vol 153 (5) ◽  
pp. 389 ◽  
Author(s):  
T. Jin ◽  
Z. Zhou ◽  
W. Chang
Keyword(s):  
Synthetic Aperture Radar ◽  
Image Formation ◽  
Ultra Wideband ◽  
Synthetic Aperture ◽  
Time Frequency ◽  
Frequency Representation ◽  
Aperture Radar

Compact acousto-optic system for real-time synthetic aperture radar image formation

1998 ◽  
Author(s):  
Michael W. Haney ◽  
Marc P. Christensen ◽  
Robert R. Michael, Jr. ◽  
Peter A. Wasilousky ◽  
Dennis R. Pape
Keyword(s):  
Synthetic Aperture Radar ◽  
Real Time ◽  
Image Formation ◽  
Synthetic Aperture Radar Image ◽  
Radar Image ◽  
Synthetic Aperture ◽  
Optic System ◽  
Aperture Radar

scholarly journals A Fourier-Based Image Formation Algorithm for Geo-Stationary GNSS-Based Bistatic Forward-Looking Synthetic Aperture Radar

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 1965 ◽  
Author(s):  
Zhangfan Zeng ◽  
Zhiming Shi ◽  
Sainan Xing ◽  
Yongcai Pan
Keyword(s):  
Synthetic Aperture Radar ◽  
Spatial Resolution ◽  
Information Acquisition ◽  
Image Formation ◽  
Synthetic Aperture ◽  
Research Perspective ◽  
Information Gap ◽  
High Level ◽  
Aperture Radar ◽  
Forward Looking

A Geo-Stationary GNSS-based Bistatic Forward-Looking Synthetic Aperture Radar (GeoSta-GNSS-BFLSAR) system is a particular kind of passive bistatic SAR system. In this system, a geo-stationary GNSS is used as the transmitter, while the receiver is deployed on a moving aircraft, which travels towards a target in a straight line. It is expected that such a radar system has potential for self-landing, self-navigation and battlefield information acquisition applications, etc. Up to now, little information from a research perspective can be found about GeoSta-GNSS-BFLSAR systems. To address this information gap, this paper proposes a preliminary image formation algorithm for GeoSta-GNSS-BFLSAR. The full details of the mathematical derivation are given. It is highlighted that, to overcome the long dwell time and spatial variance of GeoSta-GNSS-BFLSAR, a modified migration correction factor must be designed. In addition, the system performances and technical limitations of GeoSta-GNSS-BFLSAR such as focusing depth and spatial resolution are analytically discussed. In the end, a set of simulations including the image formation algorithm, focusing depth and spatial resolution were conducted for verification. It is demonstrated that the focusing performances of the proposed algorithm have a high level of similarity with the theoretical counterparts. This article thus proves the feasibility of GeoSta-GNSS-BFLSAR systems from a simulation level and establishes a foundation for the real applications of such a radar scheme in the future.

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