3D imaging for millimeter-wave forward-looking synthetic aperture radar (SAR)

2020 ◽  
Author(s):  
Lam H. Nguyen ◽  
Calvin Le
Keyword(s):  
Synthetic Aperture Radar ◽  
Millimeter Wave ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Aperture Radar ◽  
Forward Looking

scholarly journals 3D Imaging Millimeter Wave Circular Synthetic Aperture Radar

Sensors ◽  
2017 ◽  
Vol 17 (6) ◽  
pp. 1419 ◽  
Author(s):  
Renyuan Zhang ◽  
Siyang Cao
Keyword(s):  
Synthetic Aperture Radar ◽  
Millimeter Wave ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Aperture Radar

Focusing one‐stationary bistatic forward‐looking synthetic aperture radar with squint minimisation method

2015 ◽  
Vol 9 (8) ◽  
pp. 927-932 ◽  
Author(s):  
Chao Ma ◽  
Hong Gu ◽  
Weimin Su ◽  
Xiaohu Zhang ◽  
Chuanzhong Li
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Aperture Radar ◽  
Forward Looking

scholarly journals A Novel Orthogonal Waveform Separation Scheme for Airborne MIMO-SAR Systems

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3580 ◽  
Author(s):  
Jie Wang ◽  
Ke-Hong Zhu ◽  
Li-Na Wang ◽  
Xing-Dong Liang ◽  
Long-Yong Chen
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Synthetic Aperture Radar ◽  
3D Imaging ◽  
Synthetic Aperture ◽  
Separation Scheme ◽  
Sar Images ◽  
Wide Swath ◽  
Aperture Radar

In recent years, multi-input multi-output (MIMO) synthetic aperture radar (SAR) systems, which can promote the performance of 3D imaging, high-resolution wide-swath remote sensing, and multi-baseline interferometry, have received considerable attention. Several papers on MIMO-SAR have been published, but the research of such systems is seriously limited. This is mainly because the superposed echoes of the multiple transmitted orthogonal waveforms cannot be separated perfectly. The imperfect separation will introduce ambiguous energy and degrade SAR images dramatically. In this paper, a novel orthogonal waveform separation scheme based on echo-compression is proposed for airborne MIMO-SAR systems. Specifically, apart from the simultaneous transmissions, the transmitters are required to radiate several times alone in a synthetic aperture to sense their private inner-aperture channels. Since the channel responses at the neighboring azimuth positions are relevant, the energy of the solely radiated orthogonal waveforms in the superposed echoes will be concentrated. To this end, the echoes of the multiple transmitted orthogonal waveforms can be separated by cancelling the peaks. In addition, the cleaned echoes, along with original superposed one, can be used to reconstruct the unambiguous echoes. The proposed scheme is validated by simulations.

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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