scholarly journals Space-Time Adaptive Cancellation in Passive Radar Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Tamás Pető ◽  
Rudolf Seller

A critical issue in the realization of passive radar systems is the effective suppression of the zero Doppler interference (ZDI). The performance of the clutter cancellation relies much on the used algorithms. Several state-of-the-art approaches consist in the independent use of spatial and temporal algorithms for ZDI suppression. In this paper, a novel interference cancellation algorithm is proposed, which jointly exploits the available information from both space and time domains. We call this novel method Space-Time Adaptive Cancellation (STAC), and it differs from previous schemes included among the tools of Space-Time Adaptive Processing (STAP). The STAC algorithm is able to cancel out the high power direct and multipath signals on all the surveillance antenna channels prior to the beamforming and other space domain processing methods. The proposed preprocessing technique facilitates the detection of targets even in the direction of the illuminator or large static scatterers. Moreover, the interference rejection capability is also enhanced in the space domain. The performance of the presented algorithm is verified through simulations and field measurements. The experiments show improvement over the currently available filtering techniques.

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Chengjie Li ◽  
Lidong Zhu ◽  
Anhong Xie ◽  
Zhongqiang Luo

In Passive Radar System, obtaining the mixed weak object signal against the super power signal (jamming) is still a challenging task. In this paper, a novel framework based on Passive Radar System is designed for weak object signal separation. Firstly, we propose an Interference Cancellation algorithm (IC-algorithm) to extract the mixed weak object signals from the strong jamming. Then, an improved FastICA algorithm withK-means cluster is designed to separate each weak signal from the mixed weak object signals. At last, we discuss the performance of the proposed method and verify the novel method based on several simulations. The experimental results demonstrate the effectiveness of the proposed method.


2020 ◽  
Vol 79 (10) ◽  
pp. 829-845
Author(s):  
V. I. Lutsenko ◽  
I. V. Lutsenko ◽  
A. V. Sobolyak ◽  
I. V. Popov ◽  
N. X. Ahn ◽  
...  
Keyword(s):  

Author(s):  
V.I. Lutsenko ◽  
I.V. Lutsenko ◽  
A.V. Soboliak ◽  
I.V. Popov ◽  
Nguyen Xuan Anh ◽  
...  

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