Long-time coherent integration for radar target detection base on Radon-Fourier transform

Author(s):  
Jia Xu ◽  
Ji Yu ◽  
Ying-Ning Peng ◽  
Xiang-Gen Xia
2021 ◽  
Vol 13 (4) ◽  
pp. 701 ◽  
Author(s):  
Binbin Wang ◽  
Hao Cha ◽  
Zibo Zhou ◽  
Bin Tian

Clutter cancellation and long time integration are two vital steps for global navigation satellite system (GNSS)-based bistatic radar target detection. The former eliminates the influence of direct and multipath signals on the target detection performance, and the latter improves the radar detection range. In this paper, the extensive cancellation algorithm (ECA), which projects the surveillance channel signal in the subspace orthogonal to the clutter subspace, is first applied in GNSS-based bistatic radar. As a result, the clutter has been removed from the surveillance channel effectively. For long time integration, a modified version of the Fourier transform (FT), called long-time integration Fourier transform (LIFT), is proposed to obtain a high coherent processing gain. Relative acceleration (RA) is defined to describe the Doppler variation results from the motion of the target and long integration time. With the estimated RA, the Doppler frequency shift compensation is carried out in the LIFT. This method achieves a better and robust detection performance when comparing with the traditional coherent integration method. The simulation results demonstrate the effectiveness and advantages of the proposed processing method.


2013 ◽  
Vol 34 (8) ◽  
pp. 1866-1871 ◽  
Author(s):  
Zhao-ping Wu ◽  
Wei-bo Fu ◽  
Tao Su ◽  
Ji-bin Zheng

2014 ◽  
Vol 8 (5) ◽  
pp. 501-512 ◽  
Author(s):  
Li‐Chang Qian ◽  
Jia Xu ◽  
Xiang‐Gen Xia ◽  
Wen‐Feng Sun ◽  
Teng Long ◽  
...  

2020 ◽  
Vol 14 (1) ◽  
pp. 156-166 ◽  
Author(s):  
Xiao‐Wei Zhang ◽  
Lei Zuo ◽  
Dong‐Dong Yang ◽  
Jian‐Xin Guo

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