scholarly journals Ground Moving Target Imaging (GMTIm) Algorithm in OFDM SAR Based on First-Order Keystone Transform

2020 ◽  
Vol 7 (2) ◽  
pp. 136-154
Author(s):  
Mohammad Zeighami ◽  
Mohammad Hassan Bastani ◽  
Fereidoun Behnia
Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 216 ◽  
Author(s):  
Zhongyu Li ◽  
Junjie Wu ◽  
Yulin Huang ◽  
Haiguang Yang ◽  
Jianyu Yang

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2391
Author(s):  
Marco Martorella ◽  
Samuele Gelli ◽  
Alessio Bacci

Ground moving target imaging finds its main applications in both military and homeland security applications, with examples in operations of intelligence, surveillance and reconnaissance (ISR) as well as border surveillance. When such an operation is performed from the air looking down towards the ground, the clutter return may be comparable or even stronger than the target’s, making the latter hard to be detected and imaged. In order to solve this problem, multichannel radar systems are used that are able to remove the ground clutter and effectively detect and image moving targets. In this feature paper, the latest findings in the area of Ground Moving Target Imaging are revisited that see the joint application of Space-Time Adaptive Processing and Inverse Synthetic Aperture Radar Imaging. The theoretical aspects analysed in this paper are supported by practical evidence and followed by application-oriented discussions.


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