Mine detection with a forward-looking ground-penetrating synthetic aperture radar

2003 ◽  
Author(s):  
Marshall R. Bradley ◽  
Thomas R. Witten ◽  
Michael Duncan ◽  
Robert McCummins
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Mine Detection ◽  
Ground Penetrating ◽  
Aperture Radar ◽  
Forward Looking

Mine detection with ground penetrating synthetic aperture radar

2002 ◽  
Author(s):  
Marshall R. Bradley ◽  
Thomas R. Witten ◽  
Robert McCummins ◽  
Michael Duncan
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Mine Detection ◽  
Ground Penetrating ◽  
Aperture Radar

Mine detection with a ground-penetrating synthetic aperture radar

2000 ◽  
Author(s):  
Marshall R. Bradley ◽  
Thomas R. Witten ◽  
Robert McCummins ◽  
Michael Duncan ◽  
Michael Crowe ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Mine Detection ◽  
Ground Penetrating ◽  
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 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.

Analysis of Forward-Looking Synthetic Aperture Radar Imaging Characteristics of Rotating Target

2014 ◽  
Vol 1044-1045 ◽  
pp. 1057-1060
Author(s):  
Lei Chen ◽  
Dian Ren Chen ◽  
Ying Liu ◽  
Ze Chuan Lv
Keyword(s):  
Synthetic Aperture Radar ◽  
Doppler Frequency ◽  
Synthetic Aperture ◽  
Stationary Target ◽  
Imaging Result ◽  
Imaging Characteristics ◽  
Imaging Results ◽  
Rotating Target ◽  
Aperture Radar ◽  
Forward Looking

In this paper,it is established the geometric and radar echo model of the rotating target with the Forward-looking synthetic aperture radar firstly,then the Doppler frequency History Formula is Deduced and Pointed out that the Formula has a sinusoidal characteristics. It is simulated the imaging of the stationary target and the rotating target with different rotation speed, the imaging result can be expressed as the forms of curve and the curve circle nomadic type, when these features appear in the imaging results, it can initially determine that the rotating target is presence.

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