Near-Spaceborne Three-Channel SAR Ground Moving Target Detection Method

Author(s):  
Yang Ke-Feng ◽  
Xu Yang-Yang ◽  
Chen Ming
2019 ◽  
Vol 2019 (19) ◽  
pp. 5909-5912
Author(s):  
Zhutian Liu ◽  
Zhongyu Li ◽  
Qing Yang ◽  
Junjie Wu ◽  
Yulin Huang ◽  
...  

Metals ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1967
Author(s):  
Chaoqun Xu ◽  
Li Yang ◽  
Kui Huang ◽  
Yang Gao ◽  
Shaohua Zhang ◽  
...  

The ocean is a very important arena in modern warfare where all marine powers deploy their military forces. Due to the complex environment of the ocean, underwater equipment has become a very threatening means of surprise attack in modern warfare. Therefore, the timely and effective detection of underwater moving targets is the key to obtaining warfare advantages and has important strategic significance for national security. In this paper, magnetic flux induction technology was studied with regard to the difficulty of detecting underwater concealed moving targets. Firstly, the characteristics of a magnetic target were analyzed and an equivalent magnetic dipole model was established. Secondly, the structure of the rectangular induction coil was designed according to the model, and the relationship between the target’s magnetism and the detection signal was deduced. The variation curves of the magnetic flux and the electromotive force induced in the coil were calculated by using the numerical simulation method, and the effects of the different motion parameters of the magnetic dipole and the size parameters of the coil on the induced electromotive force were analyzed. Finally, combined with the wavelet threshold filter, a series of field tests were carried out using ships of different materials in shallow water in order to verify the moving target detection method based on magnetic flux induction technology. The results showed that this method has an obvious response to moving targets and can effectively capture target signals, which verifies the feasibility of the magnetic flux induction detection technology.


2020 ◽  
Vol 58 (9) ◽  
pp. 6677-6690
Author(s):  
Yifan Guo ◽  
Guisheng Liao ◽  
Jun Li ◽  
Xixi Chen

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