High-Speed Maneuvering Platform SAR Imaging With Optimal Beam Steering Control

Bie, Bowen; Quan, Yinghui; Xu, Kaijie; Ren, Aifeng; Xiao, Guoyao; Sun, Guangcai; Xing, Mengdao

doi:10.1109/tgrs.2021.3121427

Cited by 5 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is an effective way to integrate the advantages of multiple hybrid domain algorithms to improve the imaging performance of CF-SAR. In [53], an optimal beam steering control imaging method, which removes the azimuth variant term by keystone transform (KT), compensates the range variant term by CSA, and corrects the azimuth-variant Doppler terms by means of an improved SPECAN, was proposed to solve the 3D space-variation problem of CF-SAR. As for experimental data, an extended two-step approach was proposed in [54] for high-resolution full-aperture CF-SAR with different platforms.…”

Section: Hybrid Domain Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Curvilinear Flight Synthetic Aperture Radar (CF-SAR): Principles, Methods, Applications, Challenges and Trends

et al. 2022

View full text Add to dashboard Cite

The research into curvilinear flight synthetic aperture radar (CF-SAR) is the inevitable result of the comprehensive practicality of SAR. The flight path of the SAR platform in real applications, which is highly nonlinear or curvy due to three-dimensional velocity and acceleration, cannot be described by the traditional uniform linear motion model. New mathematical models, signal characteristics, imaging algorithms, and system design criteria must be proposed and investigated for CF-SAR. This paper provides a comprehensive overview of CF-SAR. Firstly, the basic concept, unified model, and general signal characteristics of CF-SAR are defined, derived, and analyzed, respectively. Additionally, the advantages and drawbacks of current methodologies are reviewed. Discussions on the CF-SAR’s applications are presented from the perspective of typical platforms, new configurations, and advanced technologies, which are suitable means to fulfill the increasing user requirements. Finally, the challenges faced by CF-SAR are summarized, and some future trends for the study of CF-SAR are explored. Hopefully, this paper will serve as a reference for SAR researchers/engineers and stimulate the future development and actual application of CF-SAR.

show abstract

Section: Hybrid Domain Algorithmmentioning

confidence: 99%

“…Therefore, the research on airborne CF-SAR is significant. Several teams have made important and valuable contributions on airborne CF-SAR, such as [2][3][4]8,16,21,22,[28][29][30][31][32]36,[38][39][40][41]43,50,51,53,54,58,63,67], and the references therein.…”

Section: Airborne Cf-sarmentioning

confidence: 99%